3 Predictions For The Role Of Artificial Intelligence In Art And Design – Forbes

Christies made the headlines in 2018 when it became the first auction house to sell a painting created by AI. The painting, named Portrait of Edmond de Belamy, ended up selling for a cool $432,500, but more importantly, it demonstrated how intelligent machines are now perfectly capable of creating artwork.

3 Predictions For The Role Of Artificial Intelligence In Art And Design

It was only a matter of time, I suppose. Thanks to AI, machines have been able to learn more and more human functions, including the ability to see (think facial recognition technology), speak and write (chatbots being a prime example). Learning to create is a logical step on from mastering the basic human abilities. But will intelligent machines really rival humans remarkable capacity for creativity and design? To answer that question, here are my top three predictions for the role of AI in art and design.

1. Machines will be used to enhance human creativity (enhance being the key word)

Until we can fully understand the brains creative thought processes, its unlikely machines will learn to replicate them. As yet, theres still much we dont understand about human creativity. Those inspired ideas that pop into our brain seemingly out of nowhere. The eureka! moments of clarity that stop us in our tracks. Much of that thought process remains a mystery, which makes it difficult to replicate the same creative spark in machines.

Typically, then, machines have to be told what to create before they can produce the desired end result. The AI painting that sold at auction? It was created by an algorithm that had been trained on 15,000 pre-20th century portraits, and was programmed to compare its own work with those paintings.

The takeaway from this is that AI will largely be used to enhance human creativity, not replicate or replace it a process known as co-creativity." As an example of AI improving the creative process, IBM's Watson AI platform was used to create the first-ever AI-generated movie trailer, for the horror film Morgan. Watson analyzed visuals, sound, and composition from hundreds of other horror movie trailers before selecting appropriate scenes from Morgan for human editors to compile into a trailer. This reduced a process that usually takes weeks down to one day.

2. AI could help to overcome the limits of human creativity

Humans may excel at making sophisticated decisions and pulling ideas seemingly out of thin air, but human creativity does have its limitations. Most notably, were not great at producing a vast number of possible options and ideas to choose from. In fact, as a species, we tend to get overwhelmed and less decisive the more options were faced with! This is a problem for creativity because, as American chemist Linus Pauling the only person to have won two unshared Nobel Prizes put it, You cant have good ideas unless you have lots of ideas. This is where AI can be of huge benefit.

Intelligent machines have no problem coming up with infinite possible solutions and permutations, and then narrowing the field down to the most suitable options the ones that best fit the human creatives vision. In this way, machines could help us come up with new creative solutions that we couldnt possibly have come up with on our own.

For example, award-winning choreographer Wayne McGregor has collaborated with Google Arts & Culture Lab to come up with new, AI-driven choreography. An AI algorithm was trained on thousands of hours of McGregors videos, spanning 25 years of his career and as a result, the program came up with 400,000 McGregor-like sequences. In McGregors words, the tool gives you all of these new possibilities you couldnt have imagined.

3. Generative design is one area to watch

Much like in the creative arts, the world of design will likely shift towards greater collaboration between humans and AI. This brings us to generative design a cutting-edge field that uses intelligent software to enhance the work of human designers and engineers.

Very simply, the human designer inputs their design goals, specifications, and other requirements, and the software takes over to explore all possible designs that meet those criteria. Generative design could be utterly transformative for many industries, including architecture, construction, engineering, manufacturing, and consumer product design.

In one exciting example of generative design, renowned designer Philippe Starck collaborated with software company Autodesk to create a new chair design. Starck and his team set out the overarching vision for the chair and fed the AI system questions like, "Do you know how we can rest our bodies using the least amount of material?" From there, the software came up with multiple suitable designs to choose from. The final design an award-winning chair named "AI" debuted at Milan Design Week in 2019.

Machine co-creativity is just one of 25 technology trends that I believe will transform our society. Read more about these key trends including plenty of real-world examples in my new books, Tech Trends in Practice: The 25 Technologies That Are Driving The 4th Industrial Revolution and The Intelligence Revolution: Transforming Your Business With AI.

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3 Predictions For The Role Of Artificial Intelligence In Art And Design - Forbes

This know-it-all AI learns by reading the entire web nonstop – MIT Technology Review

This is a problem if we want AIs to be trustworthy. Thats why Diffbot takes a different approach. It is building an AI that reads every page on the entire public web, in multiple languages, and extracts as many facts from those pages as it can.

Like GPT-3, Diffbots system learns by vacuuming up vast amounts of human-written text found online. But instead of using that data to train a language model, Diffbot turns what it reads into a series of three-part factoids that relate one thing to another: subject, verb, object.

Pointed at my bio, for example, Diffbot learns that Will Douglas Heaven is a journalist; Will Douglas Heaven works at MIT Technology Review; MIT Technology Review is a media company; and so on. Each of these factoids gets joined up with billions of others in a sprawling, interconnected network of facts. This is known as a knowledge graph.

Knowledge graphs are not new. They have been around for decades, and were a fundamental concept in early AI research. But constructing and maintaining knowledge graphs has typically been done by hand, which is hard. This also stopped Tim Berners-Lee from realizing what he called the semantic web, which would have included information for machines as well as humans, so that bots could book our flights, do our shopping, or give smarter answers to questions than search engines.

A few years ago, Google started using knowledge graphs too. Search for Katy Perry and you will get a box next to the main search results telling you that Katy Perry is an American singer-songwriter with music available on YouTube, Spotify, and Deezer. You can see at a glance that she is married to Orlando Bloom, shes 35 and worth $125 million, and so on. Instead of giving you a list of links to pages about Katy Perry, Google gives you a set of facts about her drawn from its knowledge graph.

But Google only does this for its most popular search terms. Diffbot wants to do it for everything. By fully automating the construction process, Diffbot has been able to build what may be the largest knowledge graph ever.

Alongside Google and Microsoft, it is one of only three US companies that crawl the entire public web. It definitely makes sense to crawl the web, says Victoria Lin, a research scientist at Salesforce who works on natural-language processing and knowledge representation. A lot of human effort can otherwise go into making a large knowledge base. Heiko Paulheim at the University of Mannheim in Germany agrees: Automation is the only way to build large-scale knowledge graphs.

To collect its facts, Diffbots AI reads the web as a human wouldbut much faster. Using a super-charged version of the Chrome browser, the AI views the raw pixels of a web page and uses image-recognition algorithms to categorize the page as one of 20 different types, including video, image, article, event, and discussion thread. It then identifies key elements on the page, such as headline, author, product description, or price, and uses NLP to extract facts from any text.

Every three-part factoid gets added to the knowledge graph. Diffbot extracts facts from pages written in any language, which means that it can answer queries about Katy Perry, say, using facts taken from articles in Chinese or Arabic even if they do not contain the term Katy Perry.

Browsing the web like a human lets the AI see the same facts that we see. It also means it has had to learn to navigate the web like us. The AI must scroll down, switch between tabs, and click away pop-ups. The AI has to play the web like a video game just to experience the pages, says Tung.

Diffbot crawls the web nonstop and rebuilds its knowledge graph every four to five days. According to Tung, the AI adds 100 million to 150 million entities each month as new people pop up online, companies are created, and products are launched. It uses more machine-learning algorithms to fuse new facts with old, creating new connections or overwriting out-of-date ones. Diffbot has to add new hardware to its data center as the knowledge graph grows.

Researchers can access Diffbots knowledge graph for free. But Diffbot also has around 400 paying customers. The search engine DuckDuckGo uses it to generate its own Google-like boxes. Snapchat uses it to extract highlights from news pages. The popular wedding-planner app Zola uses it to help people make wedding lists, pulling in images and prices. NASDAQ, which provides information about the stock market, uses it for financial research.

Adidas and Nike even use it to search the web for counterfeit shoes. A search engine will return a long list of sites that mention Nike trainers. But Diffbot lets these companies look for sites that are actually selling their shoes, rather just talking about them.

For now, these companies must interact with Diffbot using code. But Tung plans to add a natural-language interface. Ultimately, he wants to build what he calls a universal factoid question answering system: an AI that could answer almost anything you asked it, with sources to back up its response.

Tung and Lin agree that this kind of AI cannot be built with language models alone. But better yet would be to combine the technologies, using a language model like GPT-3 to craft a human-like front end for a know-it-all bot.

Still, even an AI that has its facts straight is not necessarily smart. Were not trying to define what intelligence is, or anything like that, says Tung. Were just trying to build something useful.

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This know-it-all AI learns by reading the entire web nonstop - MIT Technology Review

Diffbot attempts to create smarter AI that can discern between fact and misinformation – The Financial Express

The better part of the early 2000s was spent in creating artificial intelligence (AI) systems that could beat the Turing Test; the test is designed to determine if an AI can trick a human into believing that it is a human. Now, companies are in a race to create a smarter AI that is more knowledgeable and trustworthy. A few months ago, Open AI showcased GPT-3, a much smarter version of its AI bot, and now as per a report in MIT Technology Review, Diffbot is working on a system that can surpass the capabilities of GPT-3.

Diffbot is expected to be a smarter system as it works by reading a page as a human does. Using this technology, it can create knowledge graphs, which will contain verifiable facts. One of the problems that constant testing of GPT-3 reveals is that you still need a human to cross-verify information it is collecting. The Diffbot is trying to make the process more autonomous. The use of knowledge graphs is not unique to Diffbot; Google also uses them. The success of Diffbot will depend on how accurately it can differentiate between information and misinformation.

Give it will apply natural language processing and image recognition to virtually billions of web-pages, the knowledge graph it will build will be galactic. It will join Google and Microsoft in crawling nearly the entire web. Its non-stop crawling of the web means it knocks down its knowledge graph periodically, incorporating new information. If it can sift through data to verify information, it will indeed be a victory for internet companies looking to make their platforms more reliable.

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Diffbot attempts to create smarter AI that can discern between fact and misinformation - The Financial Express

MQ-9 Reaper Flies With AI Pod That Sifts Through Huge Sums Of Data To Pick Out Targets – The Drive

General Atomics says that it has successfully integrated and flight-tested Agile Condor, a podded, artificial intelligence-driven targeting computer, on its MQ-9 Reaper drone as part of a technology demonstration effort for the U.S. Air Force. The system is designed to automatically detect, categorize, and track potential items of interest. It could be an important stepping stone to giving various types of unmanned, as well as manned aircraft, the ability to autonomously identify potential targets, and determine which ones might be higher priority threats, among other capabilities.

The California-headquartered drone maker announced the Agile Condor tests on Sept. 3, 2020, but did not say when they had taken place. The Reaper with the pod attached conducted the flight testing from General Atomics Aeronautical Systems, Inc.'s (GS-ASI) Flight Test and Training Center in Grand Forks, North Dakota.

Computing at the edge has tremendous implications for future unmanned systems, GA-ASI President David R. Alexander said in a statement. GA-ASI is committed to expanding artificial intelligence capabilities on unmanned systems and the Agile Condor capability is proof positive that we can accurately and effectively shorten the observe, orient, decide and act cycle to achieve information superiority. GA-ASI is excited to continue working with AFRL [Air Force Research Laboratory] to advance artificial intelligence technologies that will lead to increased autonomous mission capabilities."

Defense contractor SRC, Inc. developed the Agile Condor system for the Air Force Research Laboratory (AFRL), delivering the first pod in 2016. It's not clear whether the Air Force conducted any flight testing of the system on other platforms before hiring General Atomics to integrate it onto the Reaper in 2019. The service had previously said that it expected to take the initial pod aloft in some fashion before the end of 2016.

"Sensors have rapidly increased in fidelity, and are now able to collect vast quantities of data, which must be analyzed promptly to provide mission critical information," an SRC white paper on Agile Condor from 2018 explains. "Stored data [physically on a drone] ... creates an unacceptable latency between data collection and analysis, as operators must wait for the RPA [remotely piloted aircraft] to return to base to review time sensitive data."

"In-mission data transfers, by contrast, can provide data more quickly, but this method requires more power and available bandwidth to send data," the white paper continues. "Bandwidth limits result in slower downloads of large data files, a clogged communications link and increased latency that could allow potential changes in intel between data collection and analysis. The quantities of data being collected are also so vast, that analysts are unable to fully review the data received to ensure actionable information is obtained."

This is all particularly true for drones equipped with wide-area persistent surveillance systems, such as the Air Force's Gorgon Stare system, which you can read about in more detail here, that grab immense amounts of imagery that can be overwhelming for sensor operators and intelligence analysts to scour through. Agile Condor is designed to parse through the sensor data a drone collects first, spotting and classifying objects of interest and then highlighting them for operators back at a control center or personnel receiving information at other remote locations for further analysis. Agile Condor would simply discard "empty" imagery and other data that shows nothing it deems useful, not even bothering to forward that on.

"This selective 'detect and notify' process frees up bandwidth and increases transfer speeds, while reducing latency between data collection and analysis," SRC's 2018 white paper says. "Real time pre-processing of data with the Agile Condor system also ensures that all data collected is reviewed quickly, increasing the speed and effectiveness with which operators are notified of actionable information."

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MQ-9 Reaper Flies With AI Pod That Sifts Through Huge Sums Of Data To Pick Out Targets - The Drive

The Impact of Artificial Intelligence on Workspaces – Forbes

Intelligent and intelligible office buildings

It is a truth universally acknowledged that artificial intelligence will change everything. In the next few decades, the world will become intelligible, and in many ways, intelligent. But insiders suggest that the world of big office real estate will get there more slowly - at least in the worlds major cities.

The real estate industry in London, New York, Hong Kong and other world cities moves in cycles of 10 or 15 years. This is the period of the lease. After a tense renewal negotiation, and perhaps a big row, landlord and tenant are generally happy to leave each other alone until the next time. This does not encourage innovation, or investment in new services in between the renewals. There are alternatives to this arrangement. In Scandinavia, for instance, lease durations are shorter - often three years or so. This encourages a more collegiate working relationship, where landlord and tenant are more like business partners.

Another part of the pathology of major city real estate is the landmark building. With the possible exception of planners, everyone likes grand buildings: certainly, architects, developers, and the property managers and CEOs of big companies do. A mutual appreciation society is formed, which is less concerned about the impact on a business than about appearing in the right magazines, and winning awards.

Outside the big cities, priorities are different. To attract a major tenant to Dixons old headquarters in Hemel Hempstead, for instance, the landlord will need to seduce with pragmatism rather than glamour.

Tim Oldman is the founder and CEO of Leesman, a firm which helps clients understand how to manage their workspaces in the best interests of their staff and their businesses. He says there is plenty of opportunity for AI to enhance real estate, and much of the impetus for it to happen will come from the employees who work in office buildings rather than the developers who design and build them. Employees, the actual users of buildings, will be welcoming AI into many corners of their lives in the coming years and decades, often without realising it. They will expect the same convenience and efficiency at work that they experience at home and when travelling. They will demand more from their employers and their landlords.

Christina Wood is responsible for two of Emap'sconferences on the office sector: Property Week's annual flagship event WorkSpace, and AV Magazine's new annual event AVWorks, which explores the changing role of AV in the workspace. She says that workspaces are undergoing an evolution that increasingly looks like a revolution, powered by technology innovation and driven by workforce demands for flexibility, connectivity, safety and style.

Buildings should be smart, and increasingly they will be. Smart buildings will be a major component of smart cities, a phenomenon which we have been hearing about since the end of the last century, and which will finally start to become a reality in the coming decade, enabled in part by 5G.

Buildings should know what load they are handling at any given time. They should provide the right amount of heat and light: not too little and not too much. The air conditioning should not go off at 7pm when an after-hours conference is in full flow. They should monitor noise levels, and let occupants know where the quiet places are, if they ask. They should manage the movement of water and waste intelligently. All this and much more is possible, given enough sensors, and a sensible approach to the use of data.

Imagine we are colleagues who usually work in different buildings. Today we are both in the head office, and our calendars show that we have scheduled a meeting. An intelligent building could suggest workspaces near to each other. Tim Oldman calls this assisted serendipity.

Generation Z is coming into the workplace. They are not naive about data and the potential for its mis-use, but they are more comfortable with sharing it in return for a defined benefit. Older generations are somewhat less trusting. We expect our taxi firm to know when we will be exiting the building, and to have a car waiting. But we are suspicious if the building wants to know our movements. Employees in Asian countries show more trust than those in France and Germany, say, with the US and the UK in between.

Robotic process automation, or RPA, can make mundane office interactions smoother and more efficient. But we will want it to be smart. IT helpdesks should not be rewarded for closing a ticket quickly, but for solving your problem in a way which means you wont come back with the same problem a week later and neither will anyone else.

That said, spreadsheet-driven efficiency is not always the best solution. Face-to-face genius bar-style helpdesks routinely deliver twice the level of customer satisfaction as the same service delivered over the phone, even when they use exactly the same people, the same technology, and the same infrastructure. There is a time and place for machines, and a time and a place for humans.

Rolls Royce is said to make more money from predictive maintenance plans than it makes by selling engines. Sensors in their engines relay huge volumes of real-time data about each engine component to headquarters in Derby. If a fault is developing, they can often have the relevant spare part waiting at the next airport before the pilot even knows theres a problem. One day, buildings will operate this way too.

The technology to enable these services is not cheap today, and an investment bank or a top management consultancy can offer their employees features which will not be available for years to workers in the garment industry in the developing world. There will be digital divides, but the divisions will be constantly changing, with laggards catching up, and sometimes overtaking, as they leapfrog legacy infrastructures. China is a world leader in smartphone payment apps partly because its banking infrastructure was so poor.

Covid will bring new pressure to bear on developers and landlords. Employees will demand biosecurity measures such as the provision of air which is fresh and filtered air, not re-circulated. They may want to know how many people are in which parts of the building, to help them maintain physical distancing. This means more sensors, and more data.

The great unplanned experiment in working from home which we are all engaged in thanks to covid-19 will probably result in a blended approach to office life in the future. Working from home suits some people very well, reducing commuting time, and enabling them to spend more time with their families. But others miss the decompression that commuting allows, and many of us dont have good working environments at home. In the winter, many homes are draughty, and the cost of heating them all day long can be considerable.

Tim Oldman thinks the net impact on demand for office space will probably be a slight reduction overall, and a new mix of locations. There are indications that companies will provide satellite offices closer to where their people live, perhaps sharing space with workers from other firms. This is the same principle as the co-working facilities provided by WeWork and Regus, but whereas those companies have buildings in city centres, there will be a new demand for space on local High Streets.

Retail banks have spotted this as an opportunity, a way of using the branch network which they have been shrinking as people shift to online banking. Old bank branches can be transformed into safe and comfortable satellite offices, and restore some life to tired suburban streets. Companies will have to up their game to co-ordinate this more flexible approach, and landlords will need to help them. They will need to collect and analyse information about where their people are each day, and develop and refine algorithms to predict where they will be tomorrow.

Some employers will face a crisis of trust as we emerge from the pandemic. Millions of us have been been trusted to work from home, and to the surprise of more than a few senior managers, it has mostly worked well. Snatching back the laptop and demanding that people come straight back to the office is not a good idea. Companies will adopt different approaches, and some will be more successful than others. Facebook has told its staff they can work from wherever they want, but their salary will be adjusted downwards if they leave the Bay Area. Google has simply offered every employee $1,000 to make their home offices more effective.

The way we work is being changed by lessons learned during the pandemic, and by the deployment of AI throughout the economy. Builders and owners of large office buildings must not get left behind.

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The Impact of Artificial Intelligence on Workspaces - Forbes

Catalyst of change: Bringing artificial intelligence to the forefront – The Financial Express

Artificial Intelligence (AI) has been much talked about over the last few years. Several interpretations of the potential of AI and its outcomes have been shared by technologists and futurologists. With the focus on the customer, the possibilities range from predicting trends to recommending actions to prescribing solutions.

The potential for change due to AI applications is energised by several factors. The first is the concept of AI itself which is not a new phenomenon. Researchers, cognitive specialists and hi-tech experts working with complex data for decades in domains such as space, medicine and astrophysics have used data to help derive deep insights to predict trends and build futuristic models.

AI has now moved out of the realms of research labs to the commercial world and every day life due to three key levers. Innovation and technology advancements in the hardware, telecommunications and software have been the catalysts in bringing AI to the forefront and attempting to go beyond the frontiers of data and analytics.

What was once seen as a big breakthrough to be able to analyse the data as if-else- then scenarios transitioned to machine learning with the capability to deal with hundreds of variables but mostly structured data sets. Handcrafted techniques using algorithms did find ways to convert unstructured data to structured data but there are limitations to such volumes of data that could be handled by machine learning.

With 80% of the data being unstructured and with the realisation that the real value of data analysis would be possible only when both structured and unstructured data are synthesised, there came deep learning which is capable of handling thousands of factors and is able to draw inferences from tens of billions of data comprising of voice, image, video and queries each day. Determining patterns from unstructured data multi-lingual text, multi-modal speech, vision have been maturing making recommendation engines more effective.

Another important factor that is aiding the process for adoption of AI rapidly is the evolution seen in the hardware. CPUs (Central processing unit) today are versatile and designed for handling sequential codes and not for addressing codes related to massive parallel problems. This is where the GPUs (graphcial processing units) which were hitherto considered primarily for applications such as gaming are now being deployed for the purpose of addressing the needs of commercial establishments, governments and other domains dealing with gigantic volumes of data supporting their needs for parallel processing in areas such as smart parking, retail analytics, intelligent traffic systems and others. Such computing intensive functions requiring massive problems to be broken up into smaller ones that require parallelisation are finding efficient hardware and hosting options in the cloud.

Therefore the key drivers for this major transition are the evolution of hardware and hosting on the cloud, sophisticated tools and software to capture, store and analyse the data as well as a variety of devices that keep us always connected and support in the generation of humungous volumes of data. These dimensions along with advances in telecommunications will continue to evolve, making it possible for commercial establishments, governments and society to arrive at solutions that deliver superior experiences for the common man. Whether it is agriculture, health, decoding crimes, transportation or maintenance of law and order, we have already started seeing the play of digital technologies and democratisation of AI would soon become a reality.

The writer is chairperson, Global Talent Track, a corporate training solutions company

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Catalyst of change: Bringing artificial intelligence to the forefront - The Financial Express

The fourth generation of AI is here, and its called Artificial Intuition – The Next Web

Artificial Intelligence (AI) is one of the most powerful technologies ever developed, but its not nearly as new as you might think. In fact, its undergone several evolutions since its inception in the 1950s. The first generation of AI was descriptive analytics, which answers the question, What happened? The second, diagnostic analytics, addresses, Why did it happen? The third and current generation is predictive analytics, which answers the question, Based on what has already happened, what could happen in the future?

While predictive analytics can be very helpful and save time for data scientists, it is still fully dependent on historic data. Data scientists are therefore left helpless when faced with new, unknown scenarios. In order to have true artificial intelligence, we need machines that can think on their own, especially when faced with an unfamiliar situation. We need AI that can not just analyze the data it is shown, but express a gut feeling when something doesnt add up. In short, we need AI that can mimic human intuition.Thankfully, we have it.

What is Artificial Intuition?

The fourth generation of AI is artificial intuition, which enables computers to identify threats and opportunities without being told what to look for, just as human intuition allows us to make decisions without specifically being instructed on how to do so. Its similar to a seasoned detective who can enter a crime scene and know right away that something doesnt seem right, or an experienced investor who can spot a coming trend before anybody else. The concept of artificial intuition is one that, just five years ago, was considered impossible. But now companies like Google, Amazon and IBM are working to develop solutions, and a few companies have already managed to operationalize it.

How Does It Work?

So, how does artificial intuition accurately analyze unknown data without any historical context to point it in the right direction? The answer lies within the data itself. Once presented with a current dataset, the complex algorithms of artificial intuition are able to identify any correlations or anomalies between data points.

Of course, this doesnt happen automatically. First, instead of building a quantitative model to process the data, artificial intuition applies a qualitative model. It analyzes the dataset and develops a contextual language that represents the overall configuration of what it observes. This language uses a variety of mathematical models such as matrices, euclidean and multidimensional space, linear equations and eigenvalues to represent the big picture. If you envision the big picture as a giant puzzle, artificial intuition is able to see the completed puzzle right from the start, and then work backward to fill in the gaps based on the interrelationships of the eigenvectors.

In linear algebra, an eigenvector is a nonzero vector that changes at most by a scalar factor (direction does not change) when that linear transformation is applied to it. The corresponding eigenvalue is the factor by which the eigenvector is scaled. In concept this provides a guidepost for visualizing anomalous identifiers. Any eigenvectors that do not fit correctly into the big picture are then flagged as suspicious.

How Can It Be Used?

Artificial intuition can be applied to virtually any industry, but is currently making considerable headway in financial services. Large global banks are increasingly using it to detect sophisticated new financial cybercrime schemes, including money laundering, fraud and ATM hacking. Suspicious financial activity is usually hidden among thousands upon thousands of transactions that have their own set of connected parameters. By using extremely complicated mathematical algorithms, artificial intuition rapidly identifies the five most influential parameters and presents them to analysts.

In 99.9% of cases, when analysts see the five most important ingredients and interconnections out of tens of hundreds, they can immediately identify the type of crime being presented. So artificial intuition has the ability to produce the right type of data, identify the data, detect with a high level of accuracy and low level of false positives, and present it in a way that is easily digestible for the analysts.

By uncovering these hidden relationships between seemingly innocent transactions, artificial intuition is able to detect and alert banks to the unknown unknowns (previously unseen and therefore unexpected attacks). Not only that, but the data is explained in a way that is traceable and logged, enabling bank analysts to prepare enforceable suspicious activity reports for the Financial Crimes Enforcement Network (FinCEN).

How Will It Affect the Workplace?

Artificial intuition is not intended to serve as a replacement for human instinct. It is just an additional tool that helps people perform their jobs more effectively. In the banking example outlined above, artificial intuition isnt making any final decisions on its own; its simply presenting an analyst with what it believes to be criminal activity. It remains the analysts job to review the identified transactions and confirm the machines suspicions.

AI has certainly come a long way since Alan Turing first presented the concept back in the 1950s, and it is not showing any sign of slowing down. Previous generations were just the tip of the iceberg. Artificial intuition marks the point when AI truly became intelligent.

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Published September 3, 2020 17:00 UTC

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The fourth generation of AI is here, and its called Artificial Intuition - The Next Web

We May Be Losing The Race For AI With China: Bob Work – Breaking Defense

Robert Work, former DoD deputy secretary

UPDATED from further Work remarks WASHINGTON: The former deputy secretary of defense who launched Project Maven and jumpstarted the Pentagons push for artificial intelligence says the Defense Department is not doing enough. Bob Work made the case that the Pentagon needs to adopt AI with the same bureaucracy-busting urgency the Navy seized on nuclear power in the 1950s, with the Joint Artificial Intelligence Center acting as the whip the way Adm. Hyman Rickover did during the Cold War.

There has to be this top-down sense of urgency, Work told the AFCEA AI+ML conference today. One thousand flowers blooming will work over time, but it wont [work] as fast as we need to go.

Work, now vice-chair of the congressionally chartered National Security Commission on Artificial Intelligence, told the conference yesterday that China and Russia to a lesser extent could overtake the US in military AI and automation. To keep them at bay, he said, the U.S. needs to undertake three major reforms:

Work added Wednesday that the US should also consider replicating the Chinese model of a single unified Strategic Support Force overseeing satellites, cyberspace, electronic warfare, and information warfare functions that the US splits between Space Command, Cyber Command, and other agencies. Given how interdependent these functions are in the modern world, he said, I think the unified Strategic Support Force is a better way to go, but this is something that would need to be analyzed, wargamed, experimented with.

Adm. Hyman Rickover in civilian clothes.

Rickover, Reprise?

Were all saying the right things: AI is absolutely important. Its going to give us an advantage on the battlefield for years to come, Work said. But the key thing is, where is our sense of urgency? We may be losing the race, due to our own lack of urgency.

For the US to keep up requires not only funding, Work said, but also a new sense of urgency and new forms of organization, he said: I would recommend that we adopt a Naval Reactors-type model.

At the dawn of the nuclear era, Congress promoted Hyman Rickover over the heads of more-tradition-minded admirals and empowered him as chief of Naval Reactors, which set strict technical standards for the training of nuclear personnel and construction of nuclear vessels. The remit of NR extended not only across the Navy but into the Energy Department, giving it an extraordinary independence from both military and civilian oversight.

How would this model apply to AI? Work proposes giving the Joint Artificial Intelligence Center to be renamed the Joint Autonomy & AI Center the role of systems architect for human-machine collaborative battle networks the most important AI-enabled applications. To unpack this jargon, the JAIC/JAAIC would effectively set the technical standards for most military AI projects and control how they fit together into an all-encompassing Joint All Domain Command & Control (JADC2) system sharing data across land, sea, air, space, and cyberspace.

Cross Functional Teams run by the JAIC for different aspects of AI would have to certify that any specific program had significant joint impact for it to be eligible for a share of the added $7 billion in AI funding, Work said. In some cases, he said, the JAIC could compel the services to invest in AI upgrades that they might not want to find room for in their budgets, but which would work best if everyone adopted them, much as then-Defense Secretary Bill Perry forced the services to install the early versions of GPS on vehicle, ships, and aircraft.

Im recommending a much more muscular JAIC, Work said Wednesday. You have to tell the JAIC, youre the whip. Youre going to be the one recommending to the senior leaders, what are the applications and the algorithms that we need to pursue now to gain near-term military advantage?

These proposals would upset rice bowls in the Defense Department and industry alike, making reform an uphill battle both politically and bureaucratically. What Im proposingall of the services would fight against, Work admitted.

But Work remains highly respected in the defense policy world and if Joe Biden becomes president in November, Work could well be back in the Pentagon again.

Then-Deputy Defense Secretary Robert Work (center) settles in for a congressional hearing, flanked by Adm. James Winnefeld (left) and comptroller Mike McCord (right).

Work has a lot of credibility in this area. A retired Marine Corps artillery officer, he spent years in government and thinktank positions, rising to Deputy Defense Secretary during the Obama Administration. Work warned that China and Russia had advanced their military technology dramatically while the US waged guerrilla warfare in Afghanistan and Iraq, and he convinced Sec. Chuck Hagel to launch the Third Offset Strategy to regain Americas high-tech edge. While the name died out after the Trump administration took power, the emphasis on great power competition in technology especially AI has only grown at the Trump Pentagon, despite the presidents own ambivalence about containing China and his outright refusal to confront Russias Vladimir Putin.

Just yesterday, the Defense Department released an alarming new report saying China has pulled ahead of the US in shipbuilding, missile defense, and offensive missiles. The Peoples Republic in large part owes its rapid advance to the government-mandated collaboration between military and industry, the report says, with China harvesting foreign technology from both international collaboration and outright theft. [There is] not a clear line between the PRCs civilian and military economies, raising due diligence costs for U.S. and global entities that do not desire to contribute to the PRCs military modernization, the report states.

Chinese weapons ranges (CSBA graphic)

Work likewise prioritizes China as the most dangerous competitor, although he notes that Russia is remarkably advanced in military robotics. But robotic vehicles and drones are just one aspect of AI and automation, Work says. Equally important and a major strength for China is the intangible autonomy of software systems and communications networks that comb through vast amounts of sensor data to spot targets, route supplies, schedule maintenance, and offer options to commanders.

Since algorithms are invisible, its much harder to calculate the correlation of forces today than in the Cold War, when spyplanes and satellites could count tanks, planes, and ships. For example, Work said, the right automation package could convert obsolete fighter jets from scrapyard relics to lethal but expendable drones able to out-maneuver human pilots a possibility hinted at in DARPAs recent AlphaDogfight simulation where AI beat human pilots 5-0.

An AI-driven world will be rife with surprise, Work warned. If you had a great new AI into a junky old MiG-21 or MiG-19, and you come up against it, its going to surprise the heck out of a [US] pilot because its going to be a lot more capable than the platform itself might indicate.

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We May Be Losing The Race For AI With China: Bob Work - Breaking Defense

These students figured out their tests were graded by AI and the easy way to cheat – The Verge

On Monday, Dana Simmons came downstairs to find her 12-year-old son, Lazare, in tears. Hed completed the first assignment for his seventh-grade history class on Edgenuity, an online platform for virtual learning. Hed received a 50 out of 100. That wasnt on a practice test it was his real grade.

He was like, Im gonna have to get a 100 on all the rest of this to make up for this, said Simmons in a phone interview with The Verge. He was totally dejected.

At first, Simmons tried to console her son. I was like well, you know, some teachers grade really harshly at the beginning, said Simmons, who is a history professor herself. Then, Lazare clarified that hed received his grade less than a second after submitting his answers. A teacher couldnt have read his response in that time, Simmons knew her son was being graded by an algorithm.

Simmons watched Lazare complete more assignments. She looked at the correct answers, which Edgenuity revealed at the end. She surmised that Edgenuitys AI was scanning for specific keywords that it expected to see in students answers. And she decided to game it.

Now, for every short-answer question, Lazare writes two long sentences followed by a disjointed list of keywords anything that seems relevant to the question. The questions are things like... What was the advantage of Constantinoples location for the power of the Byzantine empire, Simmons says. So you go through, okay, what are the possible keywords that are associated with this? Wealth, caravan, ship, India, China, Middle East, he just threw all of those words in.

I wanted to game it because I felt like it was an easy way to get a good grade, Lazare told The Verge. He usually digs the keywords out of the article or video the question is based on.

Apparently, that word salad is enough to get a perfect grade on any short-answer question in an Edgenuity test.

Edgenuity didnt respond to repeated requests for comment, but the companys online help center suggests this may be by design. According to the website, answers to certain questions receive 0% if they include no keywords, and 100% if they include at least one. Other questions earn a certain percentage based on the number of keywords included.

As COVID-19 has driven schools around the US to move teaching to online or hybrid models, many are outsourcing some instruction and grading to virtual education platforms. Edgenuity offers over 300 online classes for middle and high school students ranging across subjects from math to social studies, AP classes to electives. Theyre made up of instructional videos and virtual assignments as well as tests and exams. Edgenuity provides the lessons and grades the assignments. Lazares actual math and history classes are currently held via the platform his district, the Los Angeles Unified School District, is entirely online due to the pandemic. (The district declined to comment for this story).

Of course, short-answer questions arent the only factor that impacts Edgenuity grades Lazares classes require other formats, including multiple-choice questions and single-word inputs. A developer familiar with the platform estimated that short answers make up less than five percent of Edgenuitys course content, and many of the eight students The Verge spoke to for this story confirmed that such tasks were a minority of their work. Still, the tactic has certainly impacted Lazares class performance hes now getting 100s on every assignment.

Lazare isnt the only one gaming the system. More than 20,000 schools currently use the platform, according to the companys website, including 20 of the countrys 25 largest school districts, and two students from different high schools to Lazare told me they found a similar way to cheat. They often copy the text of their questions and paste it into the answer field, assuming its likely to contain the relevant keywords. One told me they used the trick all throughout last semester and received full credit pretty much every time.

Another high school student, who used Edgenuity a few years ago, said he would sometimes try submitting batches of words related to the questions only when I was completely clueless. The method worked more often than not. (We granted anonymity to some students who admitted to cheating, so they wouldnt get in trouble.)

One student, who told me he wouldnt have passed his Algebra 2 class without the exploit, said hes been able to find lists of the exact keywords or sample answers that his short-answer questions are looking for he says you can find them online nine times out of ten. Rather than listing out the terms he finds, though, he tried to work three into each of his answers. (Any good cheater doesnt aim for a perfect score, he explained.)

Austin Paradiso, who has graduated but used Edgenuity for a number of classes during high school, was also averse to word salads but did use the keyword approach a handful of times. It worked 100 percent of the time. I always tried to make the answer at least semi-coherent because it seemed a bit cheap to just toss a bunch of keywords into the input field, Paradiso said. But if I was a bit lazier, I easily could have just written a random string of words pertinent to the question prompt and gotten 100 percent.

Teachers do have the ability to review any content students submit, and can override Edgenuitys assigned grades the Algebra 2 student says hes heard of some students getting caught keyword-mashing. But most of the students I spoke to, and Simmons, said theyve never seen a teacher change a grade that Edgenuity assigned to them. If the teachers were looking at the responses, they didnt care, one student said.

The transition to Edgenuity has been rickety for some schools parents in Williamson County, Tennessee are revolting against their districts use of the platform, claiming countless technological hiccups have impacted their childrens grades. A district in Steamboat Springs, Colorado had its enrollment period disrupted when Edgenuity was overwhelmed with students trying to register.

Simmons, for her part, is happy that Lazare has learned how to game an educational algorithm its certainly a useful skill. But she also admits that his better grades dont reflect a better understanding of his course material, and she worries that exploits like this could exacerbate inequalities between students. Hes getting an A+ because his parents have graduate degrees and have an interest in tech, she said. Otherwise he would still be getting Fs. What does that tell you about... the digital divide in this online learning environment?

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These students figured out their tests were graded by AI and the easy way to cheat - The Verge

Artificial intelligence expert moves to Montreal because it’s an AI hub – Montreal Gazette

Irina Rish, now a renowned expert in the field of artificial intelligence, first became drawn to the topic as a teenager in the former Soviet republic of Uzbekistan. At 14, she was fascinated by the notion that machines might have their own thought processes.

I was interested in math in school and I was looking at how you improve problem solving and how you come up with algorithms, Rish said in a phone interview Friday afternoon. I didnt know the word yet (algorithm) but thats essentially what it was. How do you solve tough problems?

She read a book introducing her to the world of artificial intelligence and that kick-started a lifelong passion.

First of all, they sounded like just mind-boggling ideas, that you could recreate in computers something as complex as intelligence, said Rish. Its really exciting to think about creating artificial intelligence in machines. It kind of sounds like sci-fi. But the other interesting part of that is that you hope that by doing so, you can also better understand the human mind and hopefully achieve better human intelligence. So you can say AI is not just about computer intelligence but also about our intelligence. Both goals are equally exciting.

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Artificial intelligence expert moves to Montreal because it's an AI hub - Montreal Gazette

3 Ways Artificial Intelligence Is Transforming The Energy Industry – OilPrice.com

Back in 2017, Bill Gates penned a poignant online essay to all graduating college students around the world whereby he tapped artificial intelligence (AI), clean energy, and biosciences as the three fields he would spend his energies on if he could start all over again and wanted to make a big impact in the world today.

It turns out that the Microsoft co-founder was right on the money.

Three years down the line and deep in the throes of the worst pandemic in modern history, AI and renewable energy have emerged as some of the biggest megatrends of our time. On the one hand, AI is powering the fourth industrial revolution and is increasingly being viewed as a key strategy for mastering some of the greatest challenges of our time, including climate change and pollution. On the other hand, there is a widespread recognition that carbon-free technologies like renewable energy will play a critical role in combating climate change.

Consequently, stocks in the AI, robotics, and automation sectors as well as clean energy ETFs have lately become hot property.

From utilities employing AI and machine learning to predict power fluctuations and cost optimization to companies using IoT sensors for early fault detection and wildfire powerline/gear monitoring, here are real-life cases of how AI has continued to power an energy revolution even during the pandemic.

Top uses of AI in the energy sector

Source: Intellias

#1. Innowatts: Energy monitoring and management The Covid-19 crisis has triggered an unprecedented decline in power consumption. Not only has overall consumption suffered, but there also have been significant shifts in power usage patterns, with sharp decreases by businesses and industries while domestic use has increased as more people work from home.

Houston, Texas-based Innowatts, is a startup that has developed an automated toolkit for energy monitoring and management. The companys eUtility platform ingests data from more than 34 million smart energy meters across 21 million customers, including major U.S. utility companies such as Arizona Public Service Electric, Portland General Electric, Avangrid, Gexa Energy, WGL, and Mega Energy. Innowatts says its machine learning algorithms can analyze the data to forecast several critical data points, including short- and long-term loads, variances, weather sensitivity, and more.

Related: The Real Reason The Oil Rally Has Fizzled Out

Innowatts estimates that without its machine learning models, utilities would have seen inaccuracies of 20% or more on their projections at the peak of the crisis, thus placing enormous strain on their operations and ultimately driving up costs for end-users.

#2. Google: Boosting the value of wind energy

A while back, we reported that proponents of nuclear energy were using the pandemic to highlight its strong points vis-a-vis the short-comings of renewable energy sources. To wit, wind and solar are the least predictable and consistent among the major power sources, while nuclear and natural gas boast the highest capacity factors.

Well, one tech giant has figured out how to employ AI to iron out those kinks.

Three years ago, Google announced that it had reached 100% renewable energy for its global operations, including its data centers and offices. Today, Google is the largest corporate buyer of renewable power, with commitments totaling 2.6 gigawatts (2,600 megawatts) of wind and solar energy.

In 2017, Google teamed up with IBM to search for a solution to the highly intermittent nature of wind power. Using IBMs DeepMind AI platform, Google deployed ML algorithms to 700 megawatts of wind power capacity in the central United States--enough to power a medium-sized city.

IBM says that by using a neural network trained on widely available weather forecasts and historical turbine data, DeepMind is now able to predict wind power output 36 hours ahead of actual generation. Consequently, this has boosted the value of Googles wind energy by roughly 20 percent.

A similar model can be used by other wind farm operators to make smarter, faster and more data-driven optimizations of their power output to better meet customer demand.

IBMs DeepMind uses trained neural networks to predict wind power output 36 hours ahead of actual generation

Source: DeepMind

#3. Wildfire powerline and gear monitoring In June, Californias biggest utility, Pacific Gas & Electric, found itself in deep trouble. The company pleaded guilty for the tragic 2018 wildfire accident that left 84 people dead and PG&E saddled with hefty penalties of $13.5 billion as compensation to people who lost homes and businesses and another $2 billion fine by the California Public Utilities Commission for negligence.

It will be a long climb back to the top for the fallen giant after its stock crashed nearly 90% following the disaster despite the company emerging from bankruptcy in July.

Perhaps the loss of lives and livelihood could have been averted if PG&E had invested in some AI-powered early detection system.

Source: CNN Money

One such system is by a startup called VIA, based in Somerville, Massachusetts. VIA says it has developed a blockchain-based app that can predict when vulnerable power transmission gear such as transformers might be at risk in a disaster. VIAs app makes better use of energy data sources, including smart meters or equipment inspections. Related: Worlds Largest Oilfield Services Provider Sells U.S. Fracking Business

Another comparable product is by Korean firm Alchera which uses AI-based image recognition in combination with thermal and standard cameras to monitor power lines and substations in real time. The AI system is trained to watch the infrastructure for any abnormal events such as falling trees, smoke, fire, and even intruders.

Other than utilities, oil and gas producers have also been integrating AI into their operations. These include:

By Alex Kimani for Oilprice.com

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3 Ways Artificial Intelligence Is Transforming The Energy Industry - OilPrice.com

How Artificial Intelligence Will Guide the Future of Agriculture – Growing Produce

New automated harvesters like the Harvest CROO Robotics strawberry robot utilizes AI to capture images of ripe berries ready to pick.Photo by Frank Giles

Artificial intelligence, or AI as it is more commonly called, has become more prominent in conversations about technology these days. But what does it mean? And how might it shape the future of agriculture?

In many ways, AI is already at work in agricultural research and in-field applications, but there is much more to come. Researchers in the field are excited about its potential power to process massive amounts of data and learn from it at a pace that far outstretches the capability of the human mind.

The newly installed University of Florida Vice President of Agriculture and Natural Resources, Scott Angle, sees AI as a unifying element of technology as it advances.

Robotics, visioning, automation, and genetic breakthroughs will need advanced AI to benefit growers, he says. Fortunately, UF recognized this early on and is developing a program to significantly ramp up AI research at the university.

Jim Carroll is a global futurist who specializes in technology and explaining it in a way that non-computer scientists can understand. He says first and foremost, AI is not some out-of-control robot that will terrorize and destroy our way of life like it is often portrayed in the media and popular culture.

This isnt new, Carroll says. I actually found articles in Popular Mechanics magazine in the 1930s that spoke of Giant Robot Brains that would steal all our jobs.

What is AI, really? The best way to think about it is that its an algorithm at heart its a computer that is really good at processing data, whether that be pure data, images, or other information. It has been trained and learns how to recognize patterns, trends, and insights in that information. The more it does it and gets the right scores, the better it gets. Its not really that scary.

John McCarthy is considered one of the founding fathers of AI and is credited with coining the term in 1955. He was joined by Alan Turing, Marvin Minsky, Allen Newell, and Herbert Simon in the early development of the technology.

Back in 1955, AI entered the academic world as a new discipline, and in subsequent years has experienced momentum in fits and starts. The technology went through a phase of frozen funding some called the AI winter. Some of this was because AI research was divided into subfields that didnt communicate with each other. Robotics went down one path while machine learning went down another. How and where would artificial neural networks be applied to practical effect?

But, as computing power has in-creased exponentially over time, AI, as Angle notes, is becoming a unifying technology that can tie all the subfields together. What once could only be imagined is becoming reality.

Dr. Yiannis Ampatzidis, an Assistant Professor who teaches precision agriculture and machine learning at UF/IFAS, says applications are already at work in agriculture including imaging, robotics, and big data analysis.

In precision agriculture, AI is used for detecting plant diseases and pests, plant stress, poor plant nutrition, and poor water management, Ampatzidis says. These detection technologies could be aerial [using drones] or ground based.

The imaging technology used to detect plant stress also could be deployed for precision spraying applications. Currently, John Deere is working to commercialize a weed sprayer from Blue River Technology that detects weeds and applies herbicides only to the weed.

Ampatzidis notes AI is utilized in robotics as well. The technology is used in the blossoming sector of robot harvesters where it is utilized to detect ripe fruit for picking. Floridas Harvest CROO Robotics is one example. Its robot strawberry harvester was used in commercial harvest during the 2019-2020 strawberry season in Florida.

Ampatzidis says AI holds great potential in the analytics of big data. In many ways, it is the key to unlocking the power of the massive amounts of data being generated on farms and in ag research. He and his team at UF/IFAS have developed the AgroView cloud-based technology that uses AI algorithms to process, analyze, and visualize data being collected from aerial- and ground-based platforms.

The amount of these data is huge, and its very difficult for a human brain to process and analyze them, he says. AI algorithms can detect patterns in these data that can help growers make smart decisions. For example, Agroview can detect and count citrus trees, estimate tree height and canopy size, and measure plant nutrient levels.

Carroll adds there is so much data in imagery being collected today.

An AI system can often do a better analysis at a lower cost, he says. Its similar to what we are talking about in the medical field. An AI system can read the information from X-rays and be far more accurate in a diagnosis.

So, are robots and AI coming to steal all our jobs? Thats a complicated question yet to be fully played out as the technology advances. Ampatzidis believes the technology will replace repetitive jobs and ones that agriculture is already struggling to fill with human labor.

It will replace jobs in factories, in agriculture [hand harvesters and some packinghouse jobs], vehicle drivers, bookkeepers, etc., Ampatzidis says. It also will replace many white-collar jobs in the fields of law, healthcare, accounting, hospitality, etc.

Of course, AI also could develop new jobs in the area of computer science, automation, robotics, data analytics, and computer gaming.

Carroll adds people should not fear the potential creative destruction brought on by the technologies enabled by AI. I always tell my audiences, Dont fear the future, he says. I then observe that some people see the future and see a threat. Innovators see the same future and see an opportunity.

Yiannis Ampatzidis, an Assistant Professor who teaches precision agriculture and machine learning at UF/IFAS, says AI applications are already at work in agriculture.Photo by Frank Giles

In July, the University of Florida announced a $70 million public-private partnership with NVIDIA, a multinational technology company, to build the worlds fastest AI supercomputer in academia. The system will be operating in early 2021. UF faculty and staff will have the tools to apply AI in multiple fields, such as dealing with major challenges like rising sea levels, population aging, data security, personalized medicine, urban transportation, and food insecurity. UF expects to educate 30,000 AI-supporting graduates by 2030.

AlphaGo, a 2017 documentary film, probably does about as good a job as any in illustrating the potential power of AI. The film documents a team of scientists who built a supercomputer to master the board game Go that originated in Asia more than 3,000 years ago. It also is considered one of the most complex games known to man. The conventional wisdom was that no computer would be capable of learning the vast number of solutions in the game and the reasoning required to win.

The computer, AlphGo, not only mastered the game in short order it took down human masters and champions of the game.

To learn more about the film, visit AlphaGoMovie.com.

Giles is editor of Florida Grower, a Meister Media Worldwide publication. See all author stories here.

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Dentsu’s Chief Automation Officer: ‘AI Should Be Injected In Every Process’ – AdExchanger

Agencies spend too much time doing manual work.

One of the biggest time sucks? Transferring data files between enterprise systems that dont talk to each other.

Max Cheprasov, now an exec at the Dentsu Aegis holding company level, recognized these inefficiencies while working at Dentsu agency iProspect starting in 2011. He set out to document and standardize processes while outsourcing inefficient tasks so that employees could focus more on strategic client work.

Eventually, he brought artificial intelligence into the agencys workflows, specifically natural language processing and machine learning, which helped accelerate the ability to interpret data, derive insights and generate reports.

By 2017, automation made iProspect the most profitable agency within Dentsu and Cheprasov was promoted to chief automation officer in order to scale his vision across the network. He drafted an eight-year plan, through 2025, with the ultimate goal of integrating AI wherever possible.

The opportunities are limitless, he said. AI and automation should be injected in every process and workflow.

By automating mundane tasks, AI helps agencies deliver work and insights to their clients faster.

When filling out RFPs, for example, teams often spend weeks on 50-page documents that are chock full of standard questions. But by partnering with workflow automation platform Catalytic, Cheprasovs team employed AI to fill out standard information on every RFP automatically. Subject matter experts then look over the answers and tweak them where necessary.

That process condensed the time it takes to fill out an RFP from weeks to several minutes, Cheprasov said.

Dentsu also uses Catalytic to automate campaign reporting so that agencies can deliver insights to clients quicker and more frequently. The platform automates tedious work, such as transferring and validating data files and uploading them into billing systems, thereby reducing manual effort by between 65% and 95%.

Data collection, processing and reformatting should be automated, because its a horrible use of peoples time, said Sean Chou, CEO of Catalytic.

In late 2017, Dentsu first began rolling out its strategy in Japan, where it identified 900 processes that were ripe for automation. The system is now also in place in the United States and Brazil, and markets across Europe and other parts of Asia are starting to get involved.

Today, Dentsu is exploring how to use AI to build automated processes for agency workflows that havent been documented before. Using computer vision and natural language processing, Cheprasovs team can analyze keystrokes to create process maps that it can later automate.

Its a good baseline for what people do, how they do it and how it should be redesigned, he said.

Dentsus long-term goal is to arm all of its employees with a virtual assistant, accessible through a conversational interface, that can carry out manual tasks and tap into a central brain, where all of the agencys processes live. To do that, Dentsu will train staff to use low-code or no-code systems, so they can engineer assistants and document new processes on their own.

This could help automate between 30% and 60% of what Dentsu employees currently spend their time on.

Stats like that can be scary for agency employees, but Cheprasovs goal is not to do away with jobs.

Mind-numbing tasks are generally spread across roles, rather than comprising a single persons entire job, and a lot of this grunt work has already been sent offshore in any case.

The mission is to elevate human potential, Cheprasov said, not to eliminate it.

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Dentsu's Chief Automation Officer: 'AI Should Be Injected In Every Process' - AdExchanger

Carrboro startup Tanjo to leverage its AI platform to help with NC’s reopening – WRAL Tech Wire

CARRBORO A Carrboro artificial intelligence (AI) startup is leveraging its technology platform to help business and community leaders navigate with North Carolinas COVID-19 reopening.

Carrboro-based Tanjois teaming up with the Digital Health Institute for Transformation (DHIT) to build an engine that uses machine learning and advanced analytics to ingest huge amounts of national and regional data and then provide actionable insights.

Successfully reopening our economy without risking the destruction of the health of our communities is the central challenge we are attempting to overcome, said Michael Levy, president of DHIT, in a statement. More reliable, local data-driven expert guidance enabled by smart AI is critical to allow the safe and successful reopening of our communities and businesses.

Consider the breadth of intelligence: health and epidemiological data, labor and economic data, occupational data, consumer behavior and attitudinal data, and environmental data.

Tanjo,founded by serial entrepreneur Richard Boyd in 2017, said it is designing dashboard to give stakeholders real-time intelligence and predictive modeling on population health risk, consumer sentiment and community resiliency.

Richard BoydUsers will be able to view the risk to their business and county, as well as simulate the impact of implementing evidence-based recommendations, enabling them to make informed decisions.

As part of the 2020 COVID-19 Recovery Act, the North Carolina Policy Collaboratory in late July awarded the DHIT a grant to research, validate, and build a simulation platform for North Carolinas business and community leaders.

DHIT and Tanjo entered into a formal strategic partnership in November 2019, pre-COVID 19.

The seven NC counties chosen for the initial pilot are: Ashe, Buncombe, Gates, Mecklenburg, New Hanover, Robeson, and Wake.

The overall project is a collaboration between Tanjo, DHIT, the Institute for Convergent Sciences and Innovate Carolina at the University of North Carolina, Chapel Hill, and the NC Chamber Foundation, among other key stakeholders.

If you are a community organization or business located in the counties listed above and are interested in being a beta tester for this initiative, contact communityconfidence@dhitglobal.org.

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Carrboro startup Tanjo to leverage its AI platform to help with NC's reopening - WRAL Tech Wire

Engineer-turned-photographer eyes switch to digital field with AI skills – The Straits Times

Artificial intelligence (AI) has not taken over the world yet, but former engineer Zack Wong is preparing himself for this brave new future.

Mr Wong, 43, recently did a tech immersion course at Republic Polytechnic to pick up AI skills. He has also learnt programming and coding.

This is a far cry from how he started his career - working as an engineer dealing with the repair development of aircraft engine components.

He then switched to supply chain operations within the same industry and oversaw the coordination of material supply between the operations, inventory and purchasing departments.

Mr Wong left that behind to branch out into photography at a boutique creative agency. He produced images that were used in editorials, commercials and advertisements.

But both the creative industry and his old aviation sector were hit by the coronavirus pandemic.

"The Covid-19 situation has... forced many to look for other jobs to sustain (themselves). I was just one of the many. I was looking to return to the aerospace industry but it was also going down due to the cut in flights and lockdowns," Mr Wong told The Straits Times.

"I wanted to upgrade and reskill myself with new knowledge in the growing industry of AI. With the downscaling of my company and the loss of projects, I found myself at a crossroads - whether to continue to be a resident photographer or upgrade with new skills, especially in this digital era of cloud and AI."

Mr Wong hopes that these skills will help him fulfil his long-term plan of working in the digital field, particularly in relation to computer vision and imaging, although he acknowledged there will be challenges.

"It is especially difficult for mid-career switchers like me, especially when we have only less than three months of experience and knowledge, and companies are reluctant to give us opportunities," he said.

"I have attended quite a few courses and webinars as well in order to keep myself updated on the current job market requirements."

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Engineer-turned-photographer eyes switch to digital field with AI skills - The Straits Times

A voice-over artist asks: Will AI take her job? – WHYY

This story is from The Pulse, a weekly health and science podcast.

Subscribe on Apple Podcasts, Stitcher or wherever you get your podcasts.

My name is Nikki Thomas, and I am a voice-over artist. I speak into a microphone, and my voice is captured. I can change my accent. My pitch. My mood.

But its still me, right? Until its not. Because I am being replaced by my own voice an AI version of my voice.

It starts with TTS, or text-to-speech. Thats the same technology used to create Siri or Alexa. It captures a human voice and then artificially replicates that sound to read any digital text out loud.

I got hired for a TTS job. I delivered my spoken words to the client. Then a few weeks later, I could type words into a text box, and my voice clone said them back to me.

I asked longtime client and audio engineer Daren Lake to compare the two. And while concluding that the AI voice actually sounded pretty good, he could still hear that a robot made it.

Its got these warbling artifacts. I call it the zoom effect or the matrix sound, he said. Despite thinking I might be able to get away with it, the engineer in him didnt like it.

So one can tell the difference now. But when this technology gets better, could this be my new method of work? I record just a few voice samples and, before I know it, an 11-hour audiobook is produced with a voice that sounds just like mine in the time it takes me to copy and paste a document? It would be much more accurate, and reliable. An AI voice never fatigues or needs a week to recover from the flu.

Could I still consider myself a voice-over artist? If theres even a role for me. How will artificial intelligence affect creativity and artistry?

I took the question to Sarah Rose Siskind, one of the creators of a robot named Sophia. Sarah laughed when I asked if she was threatened by a robot taking her job. She told me about an 11-hour day spent getting Sophia to wink reason enough for her to believe her job was not at risk.

Sophia the Robot is an interviewer, guest speaker and host with over 16,000 YouTube subscribers. Siskind was on the writing team and worked with a group to shape Sophias personality.

An artist is a major component of her personality because we wanted her personality to be fascinated with areas not traditionally considered the domain of robots, Siskind said. However, it is hard to describe her outside of a relationship to the humans who came up with the idea of creating her.

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Cryonics – Wikipedia

For the study of the production of very low temperatures, see Cryogenics. For the low-temperature preservation of living tissue and organisms in general, see Cryopreservation. For the Hot Cross album, see Cryonics (album).

Freezing of a human corpse

Cryonics (from Greek: kryos meaning 'cold') is the low-temperature freezing (usually at 196C or 320.8F or 77.1K) and storage of a human corpse or severed head, with the speculative hope that resurrection may be possible in the future.[1][2] Cryonics is regarded with skepticism within the mainstream scientific community. It is generally viewed as a pseudoscience,[3] and its practice has been characterized as quackery.[4][5]

Cryonics procedures can begin only after clinical death, and cryonics "patients" are legally dead. Cryonics procedures may begin within minutes of death,[6] and use cryoprotectants to prevent ice formation during cryopreservation.[7] It is, however, not possible for a corpse to be reanimated after undergoing vitrification, as this causes damage to the brain including its neural networks.[8] The first corpse to be frozen was that of Dr. James Bedford in 1967.[9] As of 2014, about 250 dead bodies had been cryopreserved in the United States, and 1,500 people had made arrangements for cryopreservation of their corpses.[10]

Economic reality means it is highly improbable that any cryonics corporation could continue in business long enough to take advantage of the claimed long-term benefits offered.[11] Early attempts of cryonic preservations were performed in the 1960s and early 1970s which ended in failure with companies going out of business, and their stored corpses thawed and disposed of.[12]

Cryonicists argue that as long as brain structure remains intact, there is no fundamental barrier, given our current understanding of physical law, to recovering its information content. Cryonics proponents go further than the mainstream consensus in saying that the brain does not have to be continuously active to survive or retain memory. Cryonics controversially states that a human survives even within an inactive brain that has been badly damaged, provided that original encoding of memory and personality can, in theory, be adequately inferred and reconstituted from what structure remains.[10][13]

Cryonics uses temperatures below 130C, called cryopreservation, in an attempt to preserve enough brain information to permit future revival of the cryopreserved person. Cryopreservation may be accomplished by freezing, freezing with cryoprotectant to reduce ice damage, or by vitrification to avoid ice damage. Even using the best methods, cryopreservation of whole bodies or brains is very damaging and irreversible with current technology.

Cryonics advocates hold that in the future the use of some kind of presently-nonexistent nanotechnology may be able to help bring the dead back to life and treat the diseases which killed them.[14] Mind uploading has also been proposed.[15]

Cryonics can be expensive. As of 2018[update] the cost of preparing and storing corpses using cryonics ranged from US$28,000 to $200,000.[16]

When used at high concentrations, cryoprotectants can stop ice formation completely. Cooling and solidification without crystal formation is called vitrification.[17] The first cryoprotectant solutions able to vitrify at very slow cooling rates while still being compatible with whole organ survival were developed in the late 1990s by cryobiologists Gregory Fahy and Brian Wowk for the purpose of banking transplantable organs.[18][19][20] This has allowed animal brains to be vitrified, warmed back up, and examined for ice damage using light and electron microscopy. No ice crystal damage was found;[21] cellular damage was due to dehydration and toxicity of the cryoprotectant solutions.

Costs can include payment for medical personnel to be on call for death, vitrification, transportation in dry ice to a preservation facility, and payment into a trust fund intended to cover indefinite storage in liquid nitrogen and future revival costs.[22][23] As of 2011, U.S. cryopreservation costs can range from $28,000 to $200,000, and are often financed via life insurance.[22] KrioRus, which stores bodies communally in large dewars, charges $12,000 to $36,000 for the procedure.[24] Some customers opt to have only their brain cryopreserved ("neuropreservation"), rather than their whole body.

As of 2014, about 250 corpses have been cryogenically preserved in the U.S., and around 1,500 people have signed up to have their remains preserved.[10] As of 2016, four facilities exist in the world to retain cryopreserved bodies: three in the U.S. and one in Russia.[2][25]

Taking into account the lifecycle of corporations, it is extremely unlikely that any cryonics company could continue to exist for sufficient time to take advantage even of the supposed benefits offered: historically, even the most robust corporations have only a one-in-a-thousand chance of surviving even one hundred years.[11] Many cryonics companies have failed: as of 2018[update] all but one of the pre-1973 batch had gone out of business, and their stored corpses have been defrosted and disposed of.[12]

Without cryoprotectants, cell shrinkage and high salt concentrations during freezing usually prevent frozen cells from functioning again after thawing. Ice crystals can also disrupt connections between cells that are necessary for organs to function.[26] The difficulties of recovering large animals and their individual organs from a frozen state have been long known. Attempts to recover frozen mammals by simply rewarming them were abandoned by 1957.[27] At humanity's present level of scientific knowledge, only cells, tissues, and some small organs can be reversibly cryopreserved.[18][28]

Large vitrified organs tend to develop fractures during cooling,[29] a problem worsened by the large tissue masses and very low temperatures of cryonics.[30]

Actual cryonics organizations use vitrification without a chemical fixation step,[31] sacrificing some structural preservation quality for less damage at the molecular level. Some scientists, like Joao Pedro Magalhaes, have questioned whether using a deadly chemical for fixation eliminates the possibility of biological revival, making chemical fixation unsuitable for cryonics.[32]

In 2016, Robert L. McIntyre and Gregory Fahy at the cryobiology research company 21st Century Medicine, Inc. won the Small Animal Brain Preservation Prize of the Brain Preservation Foundation by demonstrating to the satisfaction of neuroscientist judges that a particular implementation of fixation and vitrification called aldehyde-stabilized cryopreservation[33] could preserve a rabbit brain in "near perfect" condition at 135C, with the cell membranes, synapses, and intracellular structures intact in electron micrographs.[34][35] Brain Preservation Foundation President, Ken Hayworth, said, "This result directly answers a main skeptical and scientific criticism against cryonicsthat it does not provably preserve the delicate synaptic circuitry of the brain.[36] However the price paid for perfect preservation as seen by microscopy was tying up all protein molecules with chemical crosslinks, completely eliminating biological viability.

Outside the cryonics community, many scientists have strong skepticism toward cryonics methods. Cryobiologist Dayong Gao states that "we simply don't know if (subjects have) been damaged to the point where they've 'died' during vitrification because the subjects are now inside liquid nitrogen canisters." Biochemist Ken Storey argues (based on experience with organ transplants), that "even if you only wanted to preserve the brain, it has dozens of different areas, which would need to be cryopreserved using different protocols."[37]

Revival would require repairing damage from lack of oxygen, cryoprotectant toxicity, thermal stress (fracturing), freezing in tissues that do not successfully vitrify, finally followed by reversing the cause of death. In many cases extensive tissue regeneration would be necessary.[38]

Historically, a person had little control regarding how their body was treated after death as religion held jurisdiction over the ultimate fate of their body.[39] However, secular courts began to exercise jurisdiction over the body and use discretion in carrying out of the wishes of the deceased person.[39] Most countries legally treat preserved individuals as deceased persons because of laws that forbid vitrifying someone who is medically alive.[40] In France, cryonics is not considered a legal mode of body disposal;[41] only burial, cremation, and formal donation to science are allowed. However, bodies may legally be shipped to other countries for cryonic freezing.[42] As of 2015, the Canadian province of British Columbia prohibits the sale of arrangements for body preservation based on cryonics.[43] In Russia, cryonics falls outside both the medical industry and the funeral services industry, making it easier in Russia than in the U.S. to get hospitals and morgues to release cryonics candidates.[24]

In London in 2016, the English High Court ruled in favor of a mother's right to seek cryopreservation of her terminally ill 14-year-old daughter, as the girl wanted, contrary to the father's wishes. The decision was made on the basis that the case represented a conventional dispute over the disposal of the girl's body, although the judge urged ministers to seek "proper regulation" for the future of cryonic preservation following concerns raised by the hospital about the competence and professionalism of the team that conducted the preservation procedures.[44] In Alcor Life Extension Foundation v. Richardson, the Iowa Court of Appeals ordered for the disinterment of Richardson, who was buried against his wishes for cryopreservation.[39][45]

A detailed legal examination by Jochen Taupitz concludes that cryonic storage is legal in Germany for an indefinite period of time.[46]

In 2009, writing in Bioethics, David Shaw examines the ethical status of cryonics. The arguments against it include changing the concept of death, the expense of preservation and revival, lack of scientific advancement to permit revival, temptation to use premature euthanasia, and failure due to catastrophe. Arguments in favor of cryonics include the potential benefit to society, the prospect of immortality, and the benefits associated with avoiding death. Shaw explores the expense and the potential payoff, and applies an adapted version of Pascal's Wager to the question.[47]

In 2016, Charles Tandy wrote in favor of cryonics, arguing that honoring someone's last wishes is seen as a benevolent duty in American and many other cultures.[48]

Cryopreservation was applied to human cells beginning in 1954 with frozen sperm, which was thawed and used to inseminate three women.[49] The freezing of humans was first scientifically proposed by Michigan professor Robert Ettinger when he wrote The Prospect of Immortality (1962).[50] In April 1966, the first human body was frozenthough it had been embalmed for two monthsby being placed in liquid nitrogen and stored at just above freezing. The middle-aged woman from Los Angeles, whose name is unknown, was soon thawed out and buried by relatives.[51]

The first body to be frozen with the hope of future revival was James Bedford's, a few hours after his cancer-caused death in 1967.[52] Bedford's corpse is the only one frozen before 1974 still preserved today.[51] In 1976, Ettinger founded the Cryonics Institute; his corpse was cryopreserved in 2011.[50] Robert Nelson, "a former TV repairman with no scientific background" who led the Cryonics Society of California, was sued in 1981 for allowing nine bodies to thaw and decompose in the 1970s; in his defense, he claimed that the Cryonics Society had run out of money.[51] This led to the lowered reputation of cryonics in the U.S.[24]

In 2018, a Y-Combinator startup called Nectome was recognized for developing a method of preserving brains with chemicals rather than by freezing. The method is fatal, performed as euthanasia under general anethesia, but the hope is that future technology would allow the brain to be physically scanned into a computer simulation, neuron by neuron.[53]

According to The New York Times, cryonicists are predominantly nonreligious white males, outnumbering women by about three to one.[54] According to The Guardian, as of 2008, while most cryonicists used to be young, male and "geeky" recent demographics have shifted slightly towards whole families.[40]

In 2015 Du Hong, a 61-year-old female writer of children's literature, became the first known Chinese national to have their head cryopreserved.[55]

Cryonics is generally regarded as a fringe pseudoscience.[3] The Society for Cryobiology have rejected as members those who practiced cryonics,[3] and have issued a public statement saying that cryonics is "not science", and that it is a "personal choice" how people want to have their dead bodies disposed of.[56]

Russian company KrioRus is the only non-US vendor of cryonics services. Yevgeny Alexandrov, chair of the Russian Academy of Sciences commission against pseudoscience, said there was "no scientific basis" for cryonics, and that the company's offering was based on "unfounded speculation".[57]

Although scientists have expressed skepticism about cryonics in media sources,[24] the Norwegian philosopher Ole Martin Moen has written that it only receives a "miniscule" amount of attention from academia.[10]

While some neuroscientists contend that all the subtleties of a human mind are contained in its anatomical structure,[58] few neuroscientists will comment directly upon the topic of cryonics due to its speculative nature. Individuals who intend to be frozen are often "looked at as a bunch of kooks".[59] Cryobiologist Kenneth B. Storey said in 2004 that cryonics is impossible and will never be possible, as cryonics proponents are proposing to "over-turn the laws of physics, chemistry, and molecular science".[60] Neurobiologist Michael Hendricks has said that "Reanimation or simulation is an abjectly false hope that is beyond the promise of technology and is certainly impossible with the frozen, dead tissue offered by the 'cryonics' industry".[24]

William T. Jarvis has written that "Cryonics might be a suitable subject for scientific research, but marketing an unproven method to the public is quackery".[4][5]

According to cryonicist Aschwin de Wolf and others, cryonics can often produce intense hostility from spouses who are not cryonicists. James Hughes, the executive director of the pro-life-extension Institute for Ethics and Emerging Technologies, chooses not to personally sign up for cryonics, calling it a worthy experiment but stating laconically that "I value my relationship with my wife."[54]

Cryobiologist Dayong Gao states that "People can always have hope that things will change in the future, but there is no scientific foundation supporting cryonics at this time."[37] As well, while it is universally agreed that "personal identity" is uninterrupted when brain activity temporarily ceases during incidents of accidental drowning (where people have been restored to normal functioning after being completely submerged in cold water for up to 66 minutes), some people express concern that a centuries-long cryopreservation might interrupt their conception of personal identity, such that the revived person would "not be you".[10]

Maastricht University bioethicist David Shaw raises the argument that there would be no point in being revived in the far future if one's friends and families are dead, leaving them all alone; he notes, however, that family and friends can also be frozen, that there is "nothing to prevent the thawed-out freezee from making new friends", and that a lonely existence may be preferable to no existence at all for the revived.[47] The technology required to actually revive any corpse preserved in such a manner does not currently exist, and so any such conjecture remains speculative.[1]

Suspended animation is a popular subject in science fiction and fantasy settings. It is often the means by which a character is transported into the future.

A survey in Germany found that about half of the respondents were familiar with cryonics, and about half of those familiar with cryonics had learned of the subject from films or television.[61]

Corpses subjected to the cryonics process include those of baseball players Ted Williams and son John Henry Williams (in 2002 & 2004),[62] engineer and doctor L. Stephen Coles (in 2014),[63] and software engineer Hal Finney (in 2014).[64]

People known to have arranged for cryonics upon death include television host Larry King[65] and PayPal founders Luke Nosek[66] and Peter Thiel.[67]

Disgraced financier Jeffrey Epstein wanted to have his head and penis frozen after death so that he could "seed the human race with his DNA".[68][69]

The corpses of some are mistakenly believed to have undergone cryonics for instance, the urban legend suggesting Walt Disney's corpse was cryopreserved is false; it was cremated and interred at Forest Lawn Memorial Park Cemetery.[70][a] Robert A. Heinlein, who wrote enthusiastically of the concept in The Door into Summer (serialized in 1956), was cremated and had his ashes distributed over the Pacific Ocean. Timothy Leary was a long-time cryonics advocate and signed up with a major cryonics provider, but he changed his mind shortly before his death, and was not cryopreserved.[72]

Originally posted here:

Cryonics - Wikipedia

Cryonics – RationalWiki

That is not dead which can eternal lie.And with strange aeons even death may die.

Cryonics is the practice of freezing clinically-dead people in liquid nitrogen (N2) with the hope of future reanimation.

Many scientists will admit that some sort of cryogenic preservation and revival does not provably violate known physics. But they stress that, in practical terms, freezing and reviving dead humans is so far off as to hardly be worth taking seriously; present cryonics practices are speculation at best, and quackery and pseudoscience at worst.

Nevertheless, cryonicists will accept considerable amounts of money right now for procedures based only on vague science fiction-level speculations, with no scientific evidence whatsoever that any of their present actions will help achieve their declared aims. (Cryonicists often point to presently-nonexistent "sufficiently advanced" nanotechnology or mind uploading as favored methods for revival.) They sincerely consider this an obviously sensible idea so common-sense that one would have to be stupid not to sign up.

Cryonics should not be confused with cryobiology (the study of living things at low temperatures), cryotherapy (the use of cold in medicine), cryogenics (subjecting things to cold temperatures in general) or Whole-body cryotherapy (alternative medicine for the living).

Alcor's "bigfoot" dewar can contain 4 whole-bodies and 6 brains immersed in liquid nitrogen

Robert Ettinger, a teacher of physics and mathematics, published The Prospect of Immortality in 1964. He then founded the Cryonics Institute and the related Immortalist Society. Ettinger was inspired by "The Jameson Satellite" by Neil R. Jones (Amazing Stories, July 1931).[1] Lots of science fiction fans and early transhumanists then seized upon the notion with tremendous enthusiasm.

Corpses were being frozen in liquid nitrogen by the early 1960s, though only for cosmetic preservation. The first person to be frozen with the aim of revival was James Bedford, frozen in early 1967. Bedford remains frozen (at Alcor Life Extension Foundation) to this day.

New hope came with K. Eric Drexler's Engines of Creation, postulating nanobots as a mechanism for cell repair in 1986. That Drexlerian nanobots are utterly impossible has not affected cryonics advocates' enthusiasm for them in the slightest, and they remain a standard proposed revival mechanism.[2]

A major advance in tissue preservation came in the late 1990s with vitrification, where chemicals are added to the tissue so as to allow it to freeze as a glass rather than as ice crystals. This all but eliminated ice crystal damage, at the cost of toxicity of the chemicals.

(Cryonicists are very big on asserting that putting a human substantially made of water into liquid nitrogen at -196C, turning them into a lump of ice, is not "freezing" at all but vitrification if you added enough antifreeze, and will get very shirty at people calling it "freezing" and claim this makes every further criticism wrong. In real medical technology, e.g. embryo preservation, vitrification is spoken of as a kind of freezing, which of course it is.)

Upon his death in 2011, Ettinger himself was stored at the Cryonics Institute in Detroit, the 106th person to be stored there. In all, about 250 people had been "preserved" as of 2015.[3] There are about 2000 living people presently signed up with Alcor or the Cryonics Institute the cryonics subculture is very small for its cultural impact.

Cryonics, in various forms, has become a theme in science fiction,[4], either as a serious plot device (The Door into Summer, the Alien tetralogy), or a source of humor (Futurama, Sleeper). Its usual job is one-way time travel, the cryonics itself being handwaved (as you are allowed to do in science fiction, though not in reality) as a pretext for one of various Rip Van Winkle scenarios.

As a fictional concept, "cryogenics" generally refers to a not-yet-invented form of suspended animation rather than present-day cryonics, in that the worst technical issue to be resolved (if at all) in the far future is either aging, or the cause of death/whatever killed you.

Timothy Leary, the famous LSD-dropper, was also famously interested in the "one in a thousand" chance of revival. He signed up with Alcor soon after it opened.[5] Eventually, the cryonicists themselves creeped him out so much[6] that he opted for cremation.[7]

Walt Disney often believed (in urban legend) to have had his head or body frozen died in December 1966, a few weeks before the first cryonic freezing process in early 1967.[citationneeded]

Hall of Fame baseball player and all-time Red Sox great Ted Williams was frozen after he died in 2002. A nasty fight broke out between his oldest children, who had a will saying he wished to be cremated, and his youngest son John-Henry who produced an informal family agreement saying he was to be frozen. This resulted in a macabre family feud for much of the summer of 2002. Williams was eventually frozen.[8]

Cryonics enthusiasts will allow that a person is entirely dead when they reach "information-theoretic death", where the information that makes up their mind is beyond recovery.

The purpose of freezing the recently dead is to stop chemistry. This is intended to allow hypothetical future science and technology to recover the information in the frozen cells and repair them or otherwise reconstruct the person, or at least their mind. We have literally no idea how to do the revival now or how it might be done in the future but cryonicists believe that scientific and technological progress will, if sustained for a sufficient time, advance to the point where the information can be recovered and the mind restarted, in a body (for those who see cryonics as a medical procedure) or a computer running an emulator (for the transhumanists).

Most of the problems with cryonics relate to the massive physical damage caused by the freezing process. Attempts to alleviate this cause chemical damage.

Whoo-hoo-hoo, look who knows so much. It just so happens that your friend here is only mostly dead. There's a big difference between mostly dead and all dead.

Cryonics for dead humans currently consists of a ritual that many find reminiscent of those performed by practitioners of the world's major religions:

As the Society for Cryobiology puts it:[9]

The Society does, however, take the position that the knowledge necessary for the revival of live or dead whole mammals following cryopreservation does not currently exist and can come only from conscientious and patient research in cryobiology and medicine. In short, the act of preserving a body, head or brain after clinical death and storing it indefinitely on the chance that some future generation may restore it to life is an act of speculation or hope, not science, and as such is outside the purview of the Society for Cryobiology.

In the US, cryonics is legally considered an extremely elaborate form of burial (At Cryonics Institute in Michigan),[10] or as a donation to science (at Alcor in Arizona) and cannot be performed on someone who has not been declared medically dead (i.e., "brain dead"). Once you are declared legally dead, your fellow cryonicists swoop in to preserve you as quickly as possible.

The body, or just the head, is given large doses of anti-clotting drugs, as well as being infused with cryoprotectant chemicals to allow vitrification. It is then frozen by being put into a bath of liquid nitrogen at -196C. At this temperature chemical reactions all but stop.

The body is stored upside down so that if staff are unable for any reason to "top off" the liquid nitrogen in the tank, the head will be the last part to thaw. The Cryonics Institute only allows for full-body freezing, but Alcor will let you freeze only your head. The heads are stored in the center of their dewars (big aluminum frozen coffins), so if your head is close to the top and they can't refill it with nitrogen then you're just out of luck.

You can also have your pet frozen, because future societies will not only be able and willing to resurrect centuries old humans, but Fido as well.

Long-term memory is stored in physical form in the neural network as proteins accumulated at a chemical synapse to change the strength of the interconnection between neurons. So if you freeze the brain without crystals forming, the information may not be lost. As such. Hopefully. Though we have no idea if current cryonics techniques preserve the physical and chemical structure in sufficient detail to recover the information even in principle. Samples look good, though at least one working scientist with a strong interest in preserving the information disagrees.[11]

Recovering the information is another matter. We have not even the start of an idea how to get it back out again. No revival method is proposed beyond "one day we will be able to do anything!" Some advocates literally propose a magic-equivalent future artificial superintelligence that will make everything better as the universal slam-dunk counterargument to all doubts.[12]

Ben Best, CEO of the Cryonics Institute, supplies in Scientific Justification of Cryonics Practice[13] a list of cryobiology findings that suggest that cryonicists might not be completely wrong; however, this paper (contrary to the promise of its title) also contains a liberal admixture of "then a miracle occurs." His assertions as to what cited papers say also vary considerably from what the cited papers' abstracts state.

Alcor Corporation calls cryonics "a scientific approach to extending human life" and compares it to heart surgery.[14] This is a gross misrepresentation of the state of both the science and technology and verges on both pseudoscience and quackery. Alcor also has a tendency to use invented pseudomedical terminology in its suspension reports.[15][16]

To date, the strongest evidence for cryonics comes from experiments with mammal brains. In 2016, researchers showed that a rabbit's brain could be frozen and thawed while keeping interconnections between neurons intact.[17]

Keeping the head or entire body at -196C stops chemistry, but the freezing process itself causes massive physical damage to the cells. The following problems (many of which are acknowledged by cryonicists[18]) would all need to be solved to bring a frozen head or body back to life. Many would need breakthroughs not merely in engineering, but in scientific understanding itself, which we simply cannot predict.

This is the big problem. The existing cryonics facilities are charities with large operational expenses run by obsessive enthusiasts. They are small and financially shaky.[28][29] In 1979, the Chatsworth facility (Cryonics Company of California, run by Robert Nelson) ran out of money and the frozen bodies thawed.[30][31] The cryonics movement as a whole was outraged and facility operators are much more careful these days. But it's an expensive business to operate as a charity.

The more general problem is that many cryonicists are libertarians and, unsurprisingly, have proven rather bad at putting together highly social nonprofits designed well enough to work in society on timescales of decades, let alone centuries. The movement has severe and obvious financial problems the cash flows just aren't sustainable, and Alcor relies on occasional large donations from rich members to make up the deficit.[32][33]

Insurance companies are barely willing to consider cryonics. You will have to work rather hard to find someone to even sell you the policy. There are, however, cryonicist insurance agents who specialise in the area.[34]

Furthermore, Alcor are distressingly slapdash and amateur in their procedures, as per the famed case of Kim Suozzi's 2013 cryopreservation:[35]

Within minutes of taking custody of the body, the bumbling Alcor team began experiencing a series of equipment failures. A temperature monitor didn't work because, as it turned out, the batteries were dead. Shortly thereafter, their expensive mechanical chest-compression device stopped functioning. Then, having moved Suozzis body into a tub of ice, the Alcor team realized they'd forgotten to bring along a key piece of cooling equipment. Alcor's after-action report, compiled from the haphazard "free-form" observations of an unnamed but "experienced" observer, determined that such mistakes could in the future be remedied by "the use of a checklist." Now theres a thought.

Eliezer Yudkowsky of LessWrong signed up with the Cryonics Institute, but recommends Alcor as the "high-priced high-quality organization".[36]

Of the early frozen corpses, only James Bedford remains, due to tremendous effort on the part of his surviving relatives. Though they didn't do anything to alleviate ice crystals, so his remains are likely just broken cell mush by now.

Terry [dramatically]: Welcome to the world of tomorrow!!Lou: Why do you always have to say it that way?

There are many medical issues connected with reanimation, but it is worth pointing out that a reanimated person faces numerous non-medical issues after returning to society. These might include:

All of these could cause the person great social, not to mention psychological, problems after revival. The person may also experience an identity crisis or delusions of grandeur.

Cryonics is not considered a part of cryobiology, and cryobiologists consider cryonicists nuisances. The Society for Cryobiology banned cryonicists from membership in 1982, specifically those "misrepresenting the science of cryobiology, including any practice or application of freezing deceased persons in anticipation of their reanimation."[note 1] (This specific provision was not present in the 2017 revision of the bylaws.[38]) As they put it in an official statement:

The act of freezing a dead body and storing it indefinitely on the chance that some future generation may restore it to life is an act of faith, not science.

The Society's planned statement was actually considerably toned down (it originally called cryonics a "fraud") after threats of litigation from Mike Darwin of Alcor.[39]

It can be difficult to find scientific critics willing to bother detailing why they think what the cryonics industry does is silly,[40] though some will detail just why the fundamental notions of present-day cryonics practice are biologically ludicrous.[11] Mostly, scientists consider that cryonicists are failing to acknowledge the hard, grinding work needed to advance the several sciences and technologies that are prerequisites for their goals.[41] Castles in the air are a completely acceptable, indeed standard, part of turning science fiction into practical technology, but you do have to go through the brick-by-brick slog of building the foundations underneath. Or, indeed, inventing the grains of sand each brick is made of. (Some cryonicists are cryobiologists and so are personally putting in the hard slog needed to get there.)

Cryonicists, like many technologists, also frequently show arrogant ignorance of fields not their own not just sciences[42] but even directly-related medicine[43][44] leaving people in those fields disinclined to take them seriously.

William T. Jarvis, president of the National Council Against Health Fraud, said, "Cryonics might be a suitable subject for scientific research, but marketing an unproven method to the public is quackery."[45] Mostly, doctors ignore cryonics and consider it a nice, but expensive, long shot.

Demographically, cryonics advocates tend to intersect strongly with transhumanists and singularitarians: almost all well-educated, mostly male to the point where the phrase "hostile wife syndrome" is commonplace[46] mostly atheist or agnostic but with some being religious, and disproportionately involved in mathematics, computers, or physics.[47] Belief in cryonics is pretty much required on LessWrong to be accepted as "rational."[48]

Hardly any celebrities have signed up to be frozen in hopes of being brought back to life in the distant future.[49] (This may be a net win.)

Cryonicists are some of the smartest people you will ever meet and provide sterling evidence that humans are just monkeys with shiny toys, who mostly use intelligence to implement stupidity faster and better.

When arguing their case, cryonics advocates tend to conflate non-existent technologies that might someday be plausible with science-fiction-level speculation, and speak of "first, achieve the singularity" as if it were a minor detail that will just happen, rather than a huge amount of work by a huge number of people working out the many, many tiny details.

The proposals and speculations are so vague as to be pretty much unfalsifiable. Solid objection to a speculation is met with another speculation that may (but does not necessarily, or sometimes even probably) escape the problem. Cryonicists will often tell you that there isn't any proof it won't work. You will find many attempts to reverse the burden of proof and demand that you prove a given speculation isn't possible. Answering can involve trying to compress a degree in biology into a few paragraphs.[42] Most cryonicists' knowledge of biology appears severely deficient.

Cryonicists also tend to assert unsupported high probabilities for as-yet nonexistent technologies and as-yet nonexistent science.[50][51][52] Figures are derived on the basis of no evidence at all, concerning the behaviour of systems we've built nothing like and therefore have no empirical understanding of they even assert probabilities of particular as-yet unrealised scientific breakthroughs occurring. (Saying "Bayesian!" is apparently sufficient support with no further working being shown under any circumstances.) If someone gives a number or even says the word "probable," ask them to show their working.

One must also take care to make very precise queries, distinguishing between, "Is some sort of cryogenic suspension and revival not theoretically impossible with as yet unrealised future technologies?" and "Is there any evidence that what the cryonics industry is doing right now does any good at all?" Cryonics advocates who have been asked the second question tend to answer the first, at which point it is almost entirely impossible to pry a falsifiable claim out of them.

When you ask about a particularly tricky part and the answer is "but, nanobots!" take a drink. If it's "but, future nigh-magical artificial superintelligence!", down the bottle.

Cryonicists are almost all sincere and exceedingly smart people. However, they are also by and large absolute fanatics, and really believe that freezing your freshly-dead body is the best current hope of evading permanent death and that the $30200,000 this costs is an obviously sensible investment in the distant future. There is little, if any, deliberate fraud going on.

Some cryonicists considered the Chatsworth facility going broke to be due to fraud, but there's little to suggest it wasn't primarily the owner just being out of his depth.

Alcor have multiple reports of being incredibly careless with the frozen heads in their care.[53] Despite suing to get a book on the subject dropped from publication[54] and threating further legal action, their carelessness further came to light in the case of Kim Suozzi, a breathtaking saga of slapdash amateurism, particularly for an organisation that has been doing this for four decades.[35]

One cryonics fanatic, scientist Kurt Pilgeram, had been giving lectures for Alcor since 1971.[55] Only his head was preserved by Alcor after his death in 2015, but according to a lawsuit by his son, Laurence Pilgeram, Alcor had been mandated to preserve all of his father's remains, no matter how damaged.[55]

Cryonics enthusiasts are fond of applying a variant of Pascal's wager to cryonics[56] and saying that being a Pascal's Wager variant doesn't make their argument fallacious.[51][52][57] Ralph Merkle gives us Merkle's Matrix:

The questionable aspect here is omitting the bit where "sign up" means "spend $30,000 (at the Cryonics Institute), $80,000 (at Alcor; head-only), or $200,000 (at Alcor; whole-body) of your children's inheritance for a spot in the freezer and a bunch of completely scientifically unjustified promises from shaky organizations run by strange people who are medical incompetents." It also assumes that living at some undetermined future date is sufficiently bonum in se that it is worth spending all that money that could be used to feed starving children now. Or, if you care only about your own survival, on medicine today which is much more likely to extend your life.

When you freeze a steak and bring it back to edible, I'll believe it.

The basic notion of freezing and reviving an animal, e.g. a human, is far from completely implausible.

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Cryonics - RationalWiki

Cryonics, brain preservation and the weird science of …

Linda Chamberlain works just down the hallway from her husband. She walks past him every day. Occasionally she'll stop by to check in on him and say hello.

The only problem is, Fred Chamberlain has been dead for eight years. Shortly after he was pronounced legally dead from prostate cancer, Fred was cryopreserved -- his body was filled with a medical-grade antifreeze, cooled to minus 196 degrees Celsius and carefully lowered into a giant vat of liquid nitrogen.

So when Linda visits Fred, she talks to him through the insulated, stainless-steel wall of a 10-foot-tall preservation chamber. And he's not alone in there. Eight people reside in that massive cylinder along with him, and more than 170 are preserved in similar chambers in the same room. All of them elected to have their bodies stored in subzero temperatures, to await a future when they could be brought back to life. Cryonically preserved in the middle of the Arizona desert.

This story is part of Hacking the Apocalypse, CNET's documentary series on the tech saving us from the end of the world.

Linda Chamberlain is cheerful as she shows me her husband's perhaps-not-final resting place. She places her hand on the cool steel and gives it a loving pat. Being in a room with 170 dead people isn't morbid to her.

"It makes me feel happy," she says. "Because I know that they have the potential to be restored to life and health. And I have the potential of being with them again."

Alcor proclaims itself a world leader in cryonics, offering customers the chance to preserve their bodies indefinitely, until they can be restored to full health and function through medical discoveries that have yet to be made. For the low price of $220,000, Alcor is selling the chance to live a second life.

It's a slim chance.

Critics say cryonics is a pipe dream, no different from age-old chimeras like the fountain of youth. Scientists say there's no way to adequately preserve a human body or brain, and that the promise of bringing a dead brain back to life is thousands of years away.

But Alcor is still selling that chance. And ever since Linda and Fred Chamberlain founded the Alcor Life Extension Foundation back in 1972, Linda has watched Alcor's membership swell with more people wanting to take that chance. More than 1,300 people have now signed up to have their bodies sent to Alcor instead of the graveyard.

And when her time is up, Linda Chamberlain plans to join them.

Hacking the Apocalypseis CNET's new documentary series digging into the science and technology that could save us from the end of the world. You can check out our episodes onPandemic,Nuclear Winter,Global Drought,Tsunamis,CryonicsandEscaping the Planetand see the full series onYouTube.

Photographs of "patients" line the walls of Alcor's offices.

From the outside, Alcor's facilities don't look like the kind of place you'd come to live forever.

When I arrived at the company's headquarters, a nondescript office block in Scottsdale, Arizona, a short drive out of Phoenix, I expected something grander. After all, this is a place that's attempting to answer the question at the heart of human existence: Can we cheat death?

I've come here to find out why someone would choose cryonics. What drives someone to reject the natural order of life and death, and embrace an end that's seen by many, scientists and lay people alike, as the stuff of science fiction?

But after a short time at Alcor, I realize the true believers here don't see cryonics as a way to cheat death. They don't even see death as the end.

"Legal death only really means that your heart and your lungs have stopped functioning without intervention," Linda Chamberlain tells me. "It doesn't mean your cells are dead, it doesn't mean even your organs are dead."

Alcor refers to the people preserved in its facilities as "patients" for that very reason -- it doesn't consider them to be dead.

In Chamberlain's view, the idea of death as an "on-off switch" is outdated. People that died 100 years ago could well have been saved by modern medical interventions that we take for granted in the 21st century. So what about 100 years from now? Alcor hopes that by pressing pause on life, its patients might be revived when medical technology has improved.

"Our best estimates are that within 50 to 100 years, we will have the medical technologies needed to restore our patients to health and function," says Chamberlain.

We're killing people who could potentially be preserved. We're just throwing them in the ground so they can be eaten by worms and bacteria.

Alcor CEO Max More

Alcor CEO Max More agrees. In his view, cryonics is about giving people who die today a second chance. And he says our current views about death and burial are robbing people of a potential future.

"We're killing people who could potentially be preserved," More says. "We're just throwing them in the ground so they can be eaten by worms and bacteria, or we're burning them up. And to me, that's kind of crazy when we could give them a chance if they want it.

"If you think about life insurance, it's actually death insurance -- it pays out on death. This really is life insurance. It's a backup plan."

An early copy of Cryonics magazine sits in Alcor's offices, showing the inside of one of its preservation chambers.

Alcor hasn't exactly mapped out how its patients will be brought back to full function and health, or what revival technologies the future will bring. Its website speaks about the possibility of molecular nanotechnology -- that is, using microscopic nano-robots to "replace old damaged chromosomes with new ones in every cell."

But that level of cellular regeneration isn't something Alcor is working on. The company is in the business of selling preservation, but it's not developing the technologies for restoration. In fact, no one currently working at Alcor is likely to be responsible for reviving patients. That responsibility will be handed on to the next generation (and potentially many more generations after that) -- scientists of some undetermined time in the future, who will have developed the technology necessary to reverse the work that Alcor is doing now. It seems like a convenient gap for cryonics: Sell the promise in the present without the burden of proving the end result.

Our goal is to have reversible suspended animation, just like in the movies. We want it to be that perfect.

Alcor founder Linda Chamberlain

Chamberlain herself admits the future is ultimately unclear and that they "don't know how powerful the revival technologies are going to be." But she does know the end result Alcor is aiming for.

"Our goal is to have reversible suspended animation, just like in the movies," she says. "We want it to be that perfect. We're not there yet, but we're always working on improving our techniques."

The science behind cryonics is unproven. The procedures are highly experimental. No human -- specifically, no human brain -- has been brought back from death or from a state of postmortem preservation. Alcor points to research in worms and the organs of small mammals that it says indicates the potential for cryonics. There are famous names associated with the movement (Alcor admits famed baseballer Ted Williams is a patient), but there aren't exactly any human success stories who've awoken from cryonic preservation to hit the motivational speaking circuit.

James Bedford, the first man to enter cryonic suspension, according to Alcor. Bedford was preserved in a "cryocapsule" in 1967 (five years before Alcor was founded), before being transferred into Alcor's facilities in 1991.

Even More isn't making any promises. He acknowledges that the company may not even exist when it comes time for its patients to wake up.

"There are no guarantees," he says. "We're not promising to bring you back on May 27th, 2082, or whatever. We don't know officially this will work. We don't know for sure that the organization [Alcor] will survive... We don't know if an asteroid will land on us. There's no guarantees. But it's a shot. It's an opportunity. And it just seems to be better than the alternative."

The way the Alcor team sees it, you have a better chance of waking up from here than you do if you're sent to the crematorium.

One of the central questions of cryonics is how you preserve a dead body if you hope to revive it.

Even if they don't know exactly when or how patients will be brought back, the team at Alcor knows one thing is vital: They need to preserve as much of the brain and body as perfectly as possible.

While they may be clinically dead when they arrive in the operating room, Alcor's "patients" are intubated and kept on ice while a mechanical thumper (shown here on a dummy) keeps blood flowing around the body, all in a bid to preserve the body as thoroughly as possible.

That life-saving mortuary practice takes place inside Alcor's operating room -- a sort of hospital-meets-morgue where the organization prepares bodies for "long-term care."

When patients come through the doors at Alcor, they've already been pronounced legally dead. Ideally, they haven't had to travel far to get here and they've had their body put on ice as soon as possible after clinical death. According to Chamberlain, that hypothermia is vital for "slowing down the dying process." I didn't think I'd hear someone say that about a dead person.

During the first stages of cryonic preservation, bodies are "perfused" with a medical-grade antifreeze, all in a bid to prevent ice crystals forming. From here, the body vitrifies, rather than freezing.

(I also didn't expect to see a dead person in the operating room. At least, that's what I thought when I saw a human dummy waiting in the ice bath by the door. One of Alcor's employees picked up the dummy's hand to wave at me and I genuinely think that moment shortened my life span by two years.)

The ice bath is the first step in the preservation process, and it's here where the patient is placed in a kind of post-death life support. Drugs are administered to slow down metabolic processes, the body is intubated to maintain oxygen levels, and a mechanical thumper pumps the heart to ensure blood keeps flowing around the body.

The team then prepares the body to be cooled down to its permanent storage temperature. The blood is replaced with cryoprotectant (think of it like medical-grade antifreeze), which is pumped through the veins, all in a bid to (surprisingly) prevent the body freezing.

Freezing might sound like the natural end goal of cryopreservation, but it's actually incredibly damaging. Our bodies are made up of about 50 to 60% water, and when this water starts to freeze, it forms ice crystals which damage the body's organs and veins.

But if that water is replaced with cryoprotectant, Alcor says it can slowly reduce temperatures so the body vitrifies -- turning into a kind of glass-like state, rather than freezing. From here, the body is placed in a giant stainless steel chamber, known as a dewar. And Alcor says a cryopreserved body can be stored in this "long-term care" for decades.

I missed something when I first walked into the operating room. At the back, behind the ice bath and medical instruments (including surgical scissors and, chillingly, unexplained saws), there's a clear box, about the size of a milk crate, with a circular metal ring clamped inside.

It's a box for human heads.

This is designed for patients who've elected to preserve their head only, removed from the body from the collarbone up. These preserved heads are referred to as "neuro patients."

This small perspex box in the Alcor operating room is used to clamp human heads in place for cryopreservation.

If putting my whole body on ice was a bridge too far, then cutting off and preserving my head is beyond anything I can fathom. But it's a choice some of Alcor's patients make. The neuro patients are stored in small, barrel-sized vats while they wait for long-term care. The moment I lifted the lid on one of these vats -- nitrogen gas billowing out, human head obscured just inches below -- will stay with me forever.

Each preservation chamber can hold four bodies (positioned with the head at the bottom, to keep the brain as cool as possible) and five "neuro patients" stacked down the center.

It's cheaper if you elect to preserve just your head. Alcor charges only $80,000 for the head, compared with $220,000 for the full body. But there are also pragmatic reasons for choosing this more selective form of cryonic preservation.

When Alcor cryopreserves a body, the main priority is to preserve the brain and cause as little damage as possible. After all, the brain is not only the center of cognitive function, but also long-term memory. Essentially everything that makes you who you are.

You might be attached to your body now (both figuratively and literally), but many people at Alcor believe that, by the time medical science has advanced enough to bring a person back to life, their full body won't be needed. Whether you're regenerating a human body from DNA found in the head or uploading a person's consciousness to a new physical body, if we reach a point where cryonic preservation can be reversed, potentially hundreds of years in the future, your 20th or 21st century body will be outdated hardware.

That's certainly a view Linda Chamberlain takes. When she goes, only her head will stay.

"There's a lot of DNA in all that tissue and material," she says of the human head. "A new body can be grown for you from your own DNA. It's just a new, beautiful body that hasn't aged and hasn't had damage from disease."

In fact, when Chamberlain thinks of her future body, she doesn't want to limit herself to the kind of human form she has now.

"I hope that I won't have a biological body, but I'll have a body made out of nanobots," she tells me. "I can be as beautiful as I want to be. I won't be old anymore."

I hope that I won't have a biological body, but I'll have a body made out of nanobots.

Alcor founder Linda Chamberlain

I tell her she's already beautiful. She laughs.

"But if you have a nanobot swarm, it can reconfigure itself any way you want!" she replies, completely serious. "If I want to go swimming in the ocean, I have to worry about sharks. But after I have my nanobots body, if I want to go swimming in the ocean, I can just reconfigure myself to be like an orca, a killer whale. And then the sharks have to look out for me."

Waking up 100 years from now as a fully reconfigurable, shark-hunting nanobot orca sounds like fun.

But this kind of future is possible only if the process of going into cryonic preservation doesn't damage your brain. The brain is a staggeringly complex organ, and storing it at subzero temperatures for decades at a time has the potential to cause serious cellular damage.

And according to some scientists, that's the main issue with cryonics. Before you even get to the issue of reanimation, they say, cryonics doesn't come close to delivering on the promise of preservation.

Surgical instruments in Alcor's operating room.

Neuroscientist Ken Hayworth is one expert who's highly skeptical. Hayworth isn't opposed to preservation -- he was a member of Alcor before he left to found the Brain Preservation Foundation with the goal of building dialogue between cryonicists and the broader scientific community. He wants brain preservation to be a respected field of scientific study. And in 2010, he laid down a challenge to help build that credibility.

"[We] put out a very concrete challenge that said, 'Hey, cryonics community, prove to us that you can at least preserve those structures of the brain that neuroscience knows are critical to long-term memory, meaning the synaptic connectivity of the brain," he says.

"The cryonics community, unfortunately, has not met the bare minimum requirements of that prize."

Hayworth says he's seen examples of animal brains preserved using techniques very similar to what cryonics companies say they use, but the samples showed a significant number of dead cells.

"I take that to mean that there was probably a lot of damage to those structures that encode memory," he says. "It was like, 'We're looking at something that doesn't look right at all.'"

We're looking at something that doesn't look right at all.

Ken Hayworth

However, Hayworth has seen a technique that successfully preserved a brain so well that it was awarded the Brain Preservation Prizeby his foundation. This prize recognized a team of researchers for preserving synapses across the whole brain of a pig. But the technique, known as "aldehyde stabilized cryopreservation," has two limitations that differ from the promise of cryonics. Firstly, it requires the brain to be filled with gluteraldehyde, a kind of embalming fluid, which means the brain can never be revived. And secondly? It's a lethal process that needs to be conducted while a mammal is living.

"It almost instantly glues together all the proteins in the brain," says Hayworth. "Now you're as dead as a rock at that point. You ain't coming back. But the advantage of that is it glues all of them in position, it doesn't destroy information."

Retaining that information is vital because, according to Hayworth, it could allow you to re-create a person's mind in the future. Forget transplanting your head onto a new body. Hayworth says the information from a preserved brain could potentially be scanned and uploaded into another space, such as a computer, allowing you to live on as a simulation.

You might not be a walking, talking human like you once were. But, in Hayworth's view, that's not the only way to live again.

"I think there's plenty of reason to suspect that future technologies will be able to bring somebody back -- future technologies like brain scanning, and mind uploading and brain simulation."

Being preserved long enough (and well enough) that you can live on as a simulation may be one of the end goals that cryonicists hope to achieve.

But there are plenty of critics who say we won't reach that point anytime soon. They say there's no way to know whether cryonics adequately preserves the brain, because we don't fully understand how the mind works, let alone how to physically preserve its complexity.

Ken Miller is a professor of neuroscience and co-director of the Center for Theoretical Neuroscience at Columbia University in New York. He's spent his life trying to understand the complexity of the human brain.

"Some people say [the brain] is the most complicated thing in the universe," says Miller.

"The most basic answer to how the brain works is, we don't know. We know how a lot of pieces work ... but we're very far from understanding the system."

It's at least thousands of years before we would know and really understand how the brain works.

Ken Miller

According to Miller, while we know a lot about parts of the brain -- how the neurons function, how electrical signals travel to the brain -- the complete picture is still a mystery.

"In my opinion, it's at least thousands of years before we would know and really understand how the brain works to the point where you could take all the pieces ... and put it back together and make a mind out of it," says Miller.

"It's just the complexity. Levels and levels and levels and levels -- it's beyond the imagination."

And what if we reach that point? What if, a thousand years from now, science was capable of restoring my cryonically preserved brain and uploading it to some kind of simulator -- would I still be me?

Sitting in his office, I put the question to Miller. And in the kind of meta way that I've realized is normal when speaking to a professor of theoretical neuroscience, I see the cogs of his mind working. His brain, thinking about another brain, living on as a simulated brain. My brain is melting.

"I think so, but it's a funny question," he says. "Because of course, if it was all information that you got up into a computer... making something feel like Claire, we could have a million of them on a million different machines. And each of them would feel like Claire.

"But immediately, just like twins -- immediately, identical twins start having divergent experiences and becoming different people. And so all the different Claires would immediately start having different experiences and becoming different Claires."

Back in Arizona, with the vision of a million computerized versions of myself enslaving the human race far from my mind, the promise of cryonics still feels like a dream.

I'm walking through the long-term care room as waterfalls of fog cascade from the cryonic chambers. These dewars need to be regularly refilled with liquid nitrogen to make sure patients stay at the perfect temperature, and today's the day they're getting topped up.

As I slowly step through the fog, stainless steel chambers loom large around me. Visibility drops, so I can barely see my outstretched hand in front of my face. For just the tiniest moment, as my feet disappear beneath me and I'm surrounded by reflections on reflections of white vapor, I lose my bearings. I feel like I'm having an out-of-body experience.

Walking through Alcor's long-term preservation room is a surreal experience.

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Cryonics, brain preservation and the weird science of ...

Cryonics: Could you live forever? – BBC Science Focus Magazine

For centuries, the worlds physicists, writers and philosophers have argued over whether time travel is possible, with most coming to the conclusion that its never going to happen.

But on an 800-acre plot of land just outside the small town of Comfort, Texas, a group of architects, engineers and scientists are building a Timeship that they say could transport tens of thousands of individuals to a far-distant future.

Their approach does not involve the use of flux capacitors, or zooming at light-speed through black holes.

Instead, the Timeship aims to store people at such low temperatures that their bodies are preserved for a future civilisation to reanimate them, a concept known as cryonics.

Read more about cryonics:

Just as a spaceship allows people to move through space, Timeship will allow people to travel to another time in the future, explains Stephen Valentine, who is the director and principal architect of the Timeship project.

Valentine has been given a multimillion-dollar budget from anonymous donors to develop a Mecca for cryonics and life extension.

As well as a fortress-like building that can store frozen people, Timeship plans to store other precious biological samples such as organs, stem cells, embryos, and even the DNA of rare or threatened species.

The site will also house the worlds largest life extension research centre, the Stasis Research Park.

This concept shows how Timeship might look. The inner region is used for liquid nitrogen storage. The eight square-shaped structures house hundreds of frozen patients Timeship

The entire facility will be off-grid, using wind and solar energy to avoid potential power outages, and the location has been carefully chosen to be far from earthquakes, tornadoes, snowstorms and any other turmoil the world might throw at it in the next few hundred years.

You dont want to be near a military base or nuclear plant either, says Valentine, who speaks at a frantic pace with a theatrical Boston drawl.

He spent five years finding and designing the site, while studying pyramids, ancient tombs, bank vaults and medieval fortresses anything that has stood the test of time. He has even consulted experts on how to protect frozen time-travellers from the effects of a nearby two-megaton nuclear bomb.

The resulting design is an epic spaceship-castle hybrid, with thick, low, circular walls surrounding a central tomb-like chamber, where thousands of storage pods will be held under high security.

The exact technique that will be used to cool the bodies is not yet clear, but it is likely to involve the bodily fluids being drained and replaced with a solution that helps protect tissue from the formation of ice crystals.

The storage pods will use the cooling power of liquid nitrogen to keep the bodies at around -130C, and should be able to maintain low temperatures without power or human maintenance for up to six months, says Valentine.

He hopes to start testing the first prototype pods next year.

The idea of freezing people in the hope of reawakening them is not new.

In January 1967, cancer patient James Bedford became the first person to be cryogenically frozen, and his body remains in cold storage to this day, in a capsule designed by American wigmaker and cryopioneer Edward Hope.

Various organisations and companies have offered similar services over the past decades, often using hopelessly crude freezing techniques or failing to store the bodies properly.

Edward Hopes cryocapsule deisgned to freeze James H. Bedford. Getty Images

Today, the cryogenic freezing of human stem cells, sperm, eggs, embryos and other small tissue samples is a routine part of scientific research and reproductive medicine in many countries.

Vitrification, a process that turns samples into a glass-like state rather than ice, was developed in the early 2000s as a way of overcoming the problems of ice formation in and around cells. Ice formation is an issue because it can cause dramatic differences in concentration inside and outside the cell, sucking water out and destroying it.

In late 2002 and early 2003, a team led by vitrification pioneer Gregory Fahy used a cocktail of antifreezes and chemicals to cryopreserve a whole rabbit kidney. The organ appeared to function normally after it was thawed and transplanted back into its donor.

Several other breakthroughs have encouraged Valentine, and the wealthy entrepreneurs backing Timeship, that freezing a person properly is now feasible. In 2015, a team from the company 21st Century Medicine claimed to have developed a new vitrification technique that preserved pig and rabbit brains without any visible damage.

Freezing embryos, eggs and sperm has become a normal part of modern science and medicine Getty Images

That same year, scientists from Alcor, a company associated with Timeship, found that when microscopic worms were deep-frozen and thawed, they not only survived but could remember associations they had learnt before they were frozen.

For Valentine and the cryonics community, these studies are proof that if the most advanced scientific techniques are used, then human organs, brains, and even memories and personalities could survive being frozen.

However, cryonics is unique in that it is utterly reliant on technology that does not exist yet. Even if so-called patients are frozen perfectly after death, they are simply guessing that scientists will one day be able to reanimate them and cure their illnesses and will want to.

Prof Brian Grout, chairman of the Society for Low-Temperature Biology, says that cryonics has become more credible in recent years, and that it would be wrong to dismiss the idea of whole-body freezing.

Read more about extending life:

But he does have one big problem with the central idea of the Timeship mission: the preservation of dead bodies.

The biggest difficulty is not whether it is possible to recover a whole person from ultra-low temperatures there is a reasonable chance that will happen in the future. It is the fact that they will be dead. If they were dead when they were frozen, they will still very much be dead when you thaw them out.

Timeship wouldnt tell us what these glacial pods would be used for Timeship

Freezing people alive could mean they can be placed in suspended animation for, say, long-term space flights, says Grout.

Technology that may be able to cure what are now incurable illnesses is also not hard to imagine, he says, but overcoming death is another matter.

The technology they will need is not cryotechnology, its reversing death. Thats a pretty big leap for me.

Valentine refuses to be drawn into a debate on whether Timeship would accept living patients if the authorities allowed such a thing, saying that it is a matter for the medical and legal professions.

But he and others believe that various technologies such as gene editing and nanotechnology could one day change how we perceive death, and reverse it.

Other futurists believe that it may one day be possible to upload our minds onto a computer, freeing humanity from the restraints of a physical form entirely.

Read more about death:

Banking on these future technologies may seem like a pretty big gamble, especially when the costs of cryonic preservation start at around $30,000. Yet for people whose lives are cut short by illness, a miraculous breakthrough may literally be the only hope they have.

An example is the14-year-old British girl known as JS who made global headlinesin 2016 after writing, before she died of cancer, that shewanted to be frozen. A judge ruled that her wishes must be respected, and her body was sent to the US to be frozen.

She wrote: Im only 14 years old and I dont want to die, but I know I am going to. I think being cryopreserved gives me a chance to be cured and woken up, even in hundreds of years time.

What the world will look like in hundreds of years time is anyones guess, but there are many logistical challenges for anyone is woken from the dead.

For a start, all your money, friends and family would be long gone, and youd probably struggle to find work in whatever hyper-advanced society has managed to resurrect you.

And there are bigger questions about how the planet would cope with a human population living far longer than it does now.

We are not going to have to worry about all that right now, says Valentine, frustrated by questions he sees as pointless hypothesising. The world may have changed in ways we cant even imagine! We could be inhabiting other planets or have modified ourselves to live in other environments.

Futurist body modification Getty Images

Its certainly hard to dismiss these ideas completely, given the remarkable progress our species has made in just the last few decades. And Valentine is confident that a change of mindset is just round the corner.

If scientists one day freeze a rabbit and bring it back to life, then the idea will spread so fast. People will start to think: why am I being buried in the ground? Why am I being cremated? Ill get frozen, and then one day, who knows. There could be many of these places around the world. This might become the norm.

Valentine himself is not currently signed up to be frozen at the Timeship he says it would distract from his architectural mission and could look like he was designing some kind of monument for myself. But his excitement and enthusiasm for this ambitious project is clear.

Will the travellers in the Timeship find themselves alive and well in the future, freed from the limitations of todays medical science? Or is it an expensive folly, doomed to result in several thousand bodies denied a proper burial?

Theres really only one way to find out and it involves a very long, very cold wait.

1 Upload your consciousness to a computer

Getty Images

Some believe that we may one day be able to recreate every detail of our brains on powerful computers, enabling our thoughts and experiences to live on without physical bodies. However, neuroscientists still struggle to simulate the workings of the most primitive animal brains, so it remains a distant prospect.

Read more about cryonics and life extension:

2 Hibernate

Hibernation, like this dormouse is enjoying, could be one solution for inter-planetary space flight Getty Images

Doctors sometimes lower the body temperature of patients dying from severe injuries to buy more time while they perform emergency surgery.

Lowering the bodys temperature from 37C to around 10C slows down all biological processes, resulting in a kind of induced hibernation.

A similar technique has been proposed as a way of putting long-distance astronauts into a deep sleep.

3 Build a new body for yourself

Vampirism has literary roots in disease, manifesting as a malignant way of cheating death iStock

After research in mice showed that the blood of young animals helped old animals memory, endurance and tissue repair, trials have begun to see if blood transfusions from young people can reduce or reverse ageing in older humans, too.

Scientists hope to identify the blood-borne chemical components of ageing.

4 Travel through time

If time machines ever get invented, chances are they wont look like this Getty Images

If it was possible for a person to travel at very close to the speed of light, then time would slow down for them relative to everyone else.

This means that when they return to Earth, thousands of years may have flown by. However, unlike in Back To The Future, there would be no way back to the past.

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Cryonics: Could you live forever? - BBC Science Focus Magazine