The Prometheus League
Breaking News and Updates
- Abolition Of Work
- Ai
- Alt-right
- Alternative Medicine
- Antifa
- Artificial General Intelligence
- Artificial Intelligence
- Artificial Super Intelligence
- Ascension
- Astronomy
- Atheism
- Atheist
- Atlas Shrugged
- Automation
- Ayn Rand
- Bahamas
- Bankruptcy
- Basic Income Guarantee
- Big Tech
- Bitcoin
- Black Lives Matter
- Blackjack
- Boca Chica Texas
- Brexit
- Caribbean
- Casino
- Casino Affiliate
- Cbd Oil
- Censorship
- Cf
- Chess Engines
- Childfree
- Cloning
- Cloud Computing
- Conscious Evolution
- Corona Virus
- Cosmic Heaven
- Covid-19
- Cryonics
- Cryptocurrency
- Cyberpunk
- Darwinism
- Democrat
- Designer Babies
- DNA
- Donald Trump
- Eczema
- Elon Musk
- Entheogens
- Ethical Egoism
- Eugenic Concepts
- Eugenics
- Euthanasia
- Evolution
- Extropian
- Extropianism
- Extropy
- Fake News
- Federalism
- Federalist
- Fifth Amendment
- Fifth Amendment
- Financial Independence
- First Amendment
- Fiscal Freedom
- Food Supplements
- Fourth Amendment
- Fourth Amendment
- Free Speech
- Freedom
- Freedom of Speech
- Futurism
- Futurist
- Gambling
- Gene Medicine
- Genetic Engineering
- Genome
- Germ Warfare
- Golden Rule
- Government Oppression
- Hedonism
- High Seas
- History
- Hubble Telescope
- Human Genetic Engineering
- Human Genetics
- Human Immortality
- Human Longevity
- Illuminati
- Immortality
- Immortality Medicine
- Intentional Communities
- Jacinda Ardern
- Jitsi
- Jordan Peterson
- Las Vegas
- Liberal
- Libertarian
- Libertarianism
- Liberty
- Life Extension
- Macau
- Marie Byrd Land
- Mars
- Mars Colonization
- Mars Colony
- Memetics
- Micronations
- Mind Uploading
- Minerva Reefs
- Modern Satanism
- Moon Colonization
- Nanotech
- National Vanguard
- NATO
- Neo-eugenics
- Neurohacking
- Neurotechnology
- New Utopia
- New Zealand
- Nihilism
- Nootropics
- NSA
- Oceania
- Offshore
- Olympics
- Online Casino
- Online Gambling
- Pantheism
- Personal Empowerment
- Poker
- Political Correctness
- Politically Incorrect
- Polygamy
- Populism
- Post Human
- Post Humanism
- Posthuman
- Posthumanism
- Private Islands
- Progress
- Proud Boys
- Psoriasis
- Psychedelics
- Putin
- Quantum Computing
- Quantum Physics
- Rationalism
- Republican
- Resource Based Economy
- Robotics
- Rockall
- Ron Paul
- Roulette
- Russia
- Sealand
- Seasteading
- Second Amendment
- Second Amendment
- Seychelles
- Singularitarianism
- Singularity
- Socio-economic Collapse
- Space Exploration
- Space Station
- Space Travel
- Spacex
- Sports Betting
- Sportsbook
- Superintelligence
- Survivalism
- Talmud
- Technology
- Teilhard De Charden
- Terraforming Mars
- The Singularity
- Tms
- Tor Browser
- Trance
- Transhuman
- Transhuman News
- Transhumanism
- Transhumanist
- Transtopian
- Transtopianism
- Ukraine
- Uncategorized
- Vaping
- Victimless Crimes
- Virtual Reality
- Wage Slavery
- War On Drugs
- Waveland
- Ww3
- Yahoo
- Zeitgeist Movement
-
Prometheism
-
Forbidden Fruit
-
The Evolutionary Perspective
Daily Archives: April 7, 2017
Big-in-Japan AI code ‘Chainer’ shows how Intel will gun for GPUs – The Register
Posted: April 7, 2017 at 9:00 pm
Ever heard of Chainer, the open-source framework for creating neural networks?
I hadn't either until yesterday Intel decided to give it a big hug, taking Chainer from being big in Japan, where its parent company Preferred Networks works with the likes of Toyota on secret projects, to rather greater prominence.
Chainer can use the help: launched in 2015 and open-sourced last year, the tool's GitHub repo is busy but hardly the most lively place on the internet.
That's probably about to change because Intel has decided Chainer is a fine way to develop AI workloads that create demand for its silicon. Doubly so if it can be taught to speak fluent Xeon, instead of only chatting to NVIDIA GPUs as was previously the case. The deal between Intel and Preferred means Chainer will from now on be developed for Intel architectures and changes shared on Intel's GitHub repo for the project.
Why should we care that Intel's decided to give Chainer a leg-up?
On the purely technical side of things, it looks like good gear. Chainer CEO Toru Nishikawa yesterday showed Intel's AI Day in Tokyo the slide below on which he claims to have made Google's TensorFlow look like it was working in treacle when measured on training time for image net classifications. Nishikawa-San also said Chainer had tied in a recent Amazon.com test to train robots to pick stock.
So you could do worse than have a look if you are thinking about neural networks.
But the Chainer tie-up is also worth considering because it shows how Intel builds markets and will try to make itself the dominant player in Artificial Intelligence, a market widely assumed to be on the cusp of a boom.
It's also a market that is currently keen on GPUs. So Intel wants to build a portfolio of products to make Xeons the heart of AI, not GPUs.
Intel's not, however, using SciFi definitions of AI. Amir Khosrowshahi, former CTO of Nervana and now holder of the same position in Intel's new AI Group, prefers to describe AI as involving deep statistical analysis of very closely-observed events so that we can infer likely outcomes with satisfying precision.
Modern hardware can do that analysis and wrangle the necessary mountains of data collected to make the analysis useful, but it mostly brute-forces it. Dedicated hardware will speed things up and that's where Intel is going, by building and/or buying that hardware and building the software ecosystem to match.
You may have seen this movie before when virtualization was obviously the next big thing and Intel added extensions to its silicon so it would be especially good at hosting multiple VMs. Chipzilla's also done things like bridge the Lustre and HDFS file systems so that HPC clusters runnings Lustre could run Hadoop, which relies on HDFS. Intel wins either way: it's invested in Hadoop provider Cloudera and has lots of HPC customers who didn't scream when Chipzilla made their rigs more useful. Intel's also optimised its consumer CPUs for video transcoding because editing HD home movies without having to stay up all night is one of the few compelling reasons to buy a new PC.
Intel's now using the same playbook for AI. Buying field-programmable gate array (FPGA) vendor Altera gave Intel the tech to build hybrid Xeons that offer integrated programmability so you can get silicon speed for exotic analyses that would make a vanilla Xeon weep. Altera is now working to make sure that developing code for FPGAs, once the province of embedded systems engineers, is not a stretch for the average Java developer.
Bernhard Friebe, Intel's director of planning and marketing for FPGA Design Software and Intellectual Property, said Intel is developing libraries for common AI tasks, gives them away and has built tools that mean developers need to write just one line of code to target FPGAs.
Nervana gave Intel silicon tailored to AI and lots of the software developers will need to use it.
The two companies also give Intel the technology it will one day bake into Xeons so they become better at the kind of data-crunching AI needs.
We'll see those products emerge later in 2017 when the Lake Crest Xeon adds a discrete AI accelerators for AI workloads. The Skylake Xeon with a joined-at-the-hip FPGA, code-named Knights Crest, will debut later in the same year. Intel's being shy about exact specs, but Both use proprietary inter-chip links and a new architecture called Flexpoint to improve parallelism. But they're early products: both promise 10x parallelism. By 2020 Intel pledges to reduce the time needed to train an AI model by a factor of 100.
But the main game here is that by adding AI abilities to those Xeons, Intel can talk to mainstream users about doing AI with familiar kit, rather than wrapping their head around GPUs. And it can point to Chainer and many other software investments to show that existing developers won't struggle to at least start playing with AI.
The company still has exotica up its sleeve. Barry Davis, general manager of Intel's Accelerator Workload Group, told El Reg that by the second half of 2018 we'll also see Knight's Mill, the next-generation Xeon Phi optimised for AI. Details of the product are scarce, but Intel is talking up the fact it will be able to address up to 400GB of memory, far more than some GPUs.
Once everyday Xeons are good at AI, there will be little excuse not to consider them. More exotic products like Xeon Phi or FPGA-bonded Xeons can also run in the cloud, where users can try them out without capital expenditure.
By the time the ready-for-AI range is mature, Chainer will have been running on Intel hardware for about three years, will probably be rather improved thanks to the input Intel's support will have generated.
That won't tup tip anyone over into a decision to go Intel when contemplating AI. But bringing Chainer into Intel's world is one of a dozen or a hundred other efforts. Some of those efforts are blindingly obvious billion-dollar acquisitions. Some are imperceptible nudges to useful open source projects. Others will be thoroughly obscure instructions issued to server-makers.
They'll all add up to an ecosystem designed to make Intel all-but-impossible to leave off a list of vendors to consider when doing AI .
Of course the world's not going to stand still and let Intel do this. But Chipzilla is confident it can dominate any rivals.
At this point it's tempting to point out that Intel is nowhere in mobile, a field in which it felt its modus operandi would work but ended up being slaughtered by ARM.
Barry Davis thinks Intel has figured out why: his version of recent history says ARM always wanted to start at the edge of the network and work its way in to the data centre. In the mobile field, Intel tried to work the way it had with PCs but found itself surrounded, late to the party and without the right friends once it arrived. The execs I met yesterday didn't dismiss challenges ARM presents in AI, but feel that as ARM is yet to become a significant data centre player and therefore isn't in a position to spearhead an ecosystem-creating challenge that will satisfy businesses and developers.
Of course Intel would say that, wouldn't it? Or is its confidence derived from deep statistical analysis of closely-observed events that let it infer likely outcomes with satisfying precision?
Continue reading here:
Big-in-Japan AI code 'Chainer' shows how Intel will gun for GPUs - The Register
Posted in Ai
Comments Off on Big-in-Japan AI code ‘Chainer’ shows how Intel will gun for GPUs – The Register
New study shows how AI can improve recovery in stroke patients – TechRepublic
Posted: at 9:00 pm
Image: iStock/Getty Images
The American Heart Association published the results of a trial that shows stroke survivors are twice as likely to take anti-blood clot treatments when they are using an artificial intelligence (AI) platform, compared to those receiving more traditional treatment.
The AI platform, AiCure, uses software algorithms on smartphones to confirm patient identify, the medication, and if the medication was taken. Patients receive automated reminders and dosing instructions as well. Healthcare workers receive real-time data which allows for early detection of patients who are not taking their meds as scheduled.
SEE: Google's DeepMind and the NHS: A glimpse of what AI means for the future of healthcare (ZDNet)
This latest trial, which lasted 12 weeks and was published in the American Heart Association's journal Stroke, shows more of AI's potential. Anti-blood clot medication can prevent another stroke, so it is essential that patients take their medication. Approximately 800,000 people suffer a stroke annually and it is the fifth leading cause of death.
"Many patients are unable to self-manage and are at increased risk of stroke and bleeding. The use of technology and artificial intelligence has the potential to significantly improve health outcomes and reduce costs in clinical care," said Laura Shafner, study coauthor and chief strategy officer at AiCure, in a press release.
AI has vast potential in the healthcare industry. It reduces the tasks that medical professionals must perform and that saves organizations money. Plus, there is plenty of data that healthcare generates and AI systems can be trained to take advantage of this and provide useable information to healthcare providers.
IBM Watson is also busy working on various AI tools for healthcare, such as a chip that can diagnose a potentially fatal condition, a camera that can scan a pill to see if it is real or counterfeit, and a system to identify mental illness. And there are others. An AI program from Behold.ai helps doctors identify cancer and medical abnormalities. Also an AI app developed by the University of Rochester tracks foodbourne illness and helps public health departments spot public health outbreaks. As AI becomes more commonplace, more options will exist to help patients with their health.
Also see:
Follow this link:
New study shows how AI can improve recovery in stroke patients - TechRepublic
Posted in Ai
Comments Off on New study shows how AI can improve recovery in stroke patients – TechRepublic
The future is now: artificial intelligence in the workplace – Crain’s Cleveland Business (blog)
Posted: at 8:59 pm
Crain's Cleveland Business (blog) | The future is now: artificial intelligence in the workplace Crain's Cleveland Business (blog) ... to work in flying cars or teleport to our company's lunar outpost, a concept once thought to be outside the realm of possibility is now on the verge of transforming the modern workplace -- working side-by-side with robotics capable of artificial ... |
Continue reading here:
The future is now: artificial intelligence in the workplace - Crain's Cleveland Business (blog)
Posted in Artificial Intelligence
Comments Off on The future is now: artificial intelligence in the workplace – Crain’s Cleveland Business (blog)
Taking Your Leads From Artificial Intelligence – MediaPost Communications
Posted: at 8:59 pm
Sysomos rolled out a unified social media marketing and analytics platform yesterday that it says enables marketers to access all the paid, owned and earned data they need to create strategic campaigns, take action in real time and measure the actions through one interface. In effect, it unifies the range of tools Sysomos has developed or acquired over the years into one platform. Individual users, however, can focus on the aspects that matter most to them, whether its identifying trending topics, measuring impact or using the refined data to tell relevant stories.
The platform also incorporates artificial intelligence to uncover correlations, anomalies and associations by using machine learning to process trillions of data points every second, as a release puts it, and thats the aspect Im going to focus on.
advertisement
advertisement
While viewing a couple of short previews of the new platform that Sysomos CEO Peter Heffring sent over last week, I was struck in particular by its ability to detect patterns not only in the words of a social campaign but also in posted images. It then delivers what Sysomos calls automated unguided insights that you can take a variety of actions on, from responding to a comment to sharing it, to referring an idea to your agency to generate a new campaign. And AI notices things that the human eye doesnt -- for instance, the way a bicycle in an influencers post about your automobile brand is catching a number of peoples attention.
There's recently been a lot of thought-provoking information -- to take the spin off what some might call disturbing info -- about where AI might lead us. Elon Musk is one of those most concerned, even as he develops his own company to implant electrodes that someday will upload and download thoughts in the human brain. Granted, much of the apprehension is on a far more advanced, or totally hypothetical, level than the relatively benign desire of marketers to harness every purchasing proclivity of every consumer.
Then theres the matter of bots gunning for your job. Rest assured that the AI in Sysomos new platform isnt.
The human element, I think, is absolutely still critical, says Erica Jenkins, Sysomos chief product officer. Based on all the permutations and different measurement points the platform mines, we can tell the human, Hey, if you are going to go and create new content, the best theme should be ; , these type of key words should be included; here's maybe a hashtag or some type of a trend that might -- right now, real time -- be something that you could harness.
Leave the collecting and sifting of all that data to the machines, in other words, and spend your time crafting stories that will resonate with your target. Indeed, during a presentation CEO Heffring made last month, he was careful to put AI in its place.
AI is a good path. Not necessarily the best path. But a good path, he told his staff in an address titled Farming and Harvesting Insights: How Marketing Must Evolve.
To wit: The third largest supercomputer in the world, the IBM Blue Gene, is able to process 500 trillion operations per second. Thats about as good as the brain of a mouse, which only has a few million neurons to work with. Humans brains have about 100 billion neurons, with information whipping around between them at the rate of 200 miles per hour.
In order to get to the processing level of your average copy writer, it would literally take city blocks of supercomputers, with one billion watts of power, with a nuclear power plant to power that, and a river would have to be diverted to cool the chips, Heffring told his employees.
Whats this all boil down to? Well, youve still got about 30 years before supercomputers catch up with your ability to take the data points gleaned and cleaned by machines intelligence and turn them into compelling, on-target stories.
Or, as Jenkins reinforced her point: There still is, absolutely, an emotional or human aspect to this. We're just trying to do the research to inform [marketers], so they don't have to spend the time doing that themselves.
Not only that, you can do it from your mobile device just before you go to sleep, or right after it wakes you up. Ah, the joys of being a 24/7 creative human marketer in the pre-AI Age!
See the original post:
Taking Your Leads From Artificial Intelligence - MediaPost Communications
Posted in Artificial Intelligence
Comments Off on Taking Your Leads From Artificial Intelligence – MediaPost Communications
Adobe Using Artificial Intelligence to Improve Your Selfies – PC Magazine
Posted: at 8:59 pm
Adobe is developing tools to help you transform any ordinary selfie into a headshot-worthy portrait that looks like it was captured and edited by a professional.
Adobe is developing new artificial intelligence-powered tools that may be able to turn your crappy selfies into flattering shots.
The software giant's research team posted a video on YouTube Thursday showing "what the future may hold for selfie photography." The tools aim to help you transform any ordinary selfie into a headshot-worthy portrait that looks like it was captured and edited by a professional.
Powered by Adobe's Sensei artificial intelligence technology, the new tools will let you adjust a selfie to make it appear as if it was taken from a different angle and distance. You can also apply "automatic portrait masking" to give your image a depth-of-field affect, blurring the background while keeping your mug sharp in the foreground (similar to Portrait Mode on the iPhone 7 Plus).
Another cool feature: Adobe's technology will help you replicate the style of another portrait photo. If you see another portrait you like perhaps a black-and-white shot, or one with moody coloring you'll be able to apply those attributes to your own photo.
Today, "great portrait photography requires the right perspective, equipment, and editing expertise," Adobe wrote in the video's description. In the future, thanks to Adobe's artificial intelligence and deep learning technology, you may be able to create a professional-looking portrait right from your smartphone.
Adobe didn't reveal any other details about the tools or say when they might be integrated into its smartphone apps.
In the meantime, Microsoft is using computer vision technology to produce more pleasing selfies. The Microsoft Selfie app for iOS and Android "intelligently considers age, gender, skin tone, lighting and many other variables" to help you "transform average photos into enhanced, ideal portraits in seconds," according to the app's description.
Angela has been a PCMag reporter since January 2012. Prior to joining the team, she worked as a reporter for SC Magazine, covering everything related to hackers and computer security. Angela has also written for The Northern Valley Suburbanite in New Jersey, The Dominion Post in West Virginia, and the Uniontown-Herald Standard in Pennsylvania. She is a graduate of West Virginia University's Perely Isaac Reed School of Journalism. More
Continued here:
Adobe Using Artificial Intelligence to Improve Your Selfies - PC Magazine
Posted in Artificial Intelligence
Comments Off on Adobe Using Artificial Intelligence to Improve Your Selfies – PC Magazine
What Canada is Doing to Retain Its Lead in Artificial Intelligence – Huffington Post
Posted: at 8:59 pm
Highline
Science
Education
Weird News
Business
TestKitchen
Tech
College
Media
Pollster
Heroin Epidemic
Donald Trump
Racial Inequality
US Senate
Election Results
HuffPost Hill
Police Brutality
Hate Crimes
Supreme Court
Congress
So That Happened
Entertainment
Comedy
Celebrity
TV
Arts + Culture
Backspace
Movies
Healthy Living
Travel
Style
Taste
Black Voices
Latino Voices
Women
Fifty
Queer Voices
Parents
ALL SECTIONS
Arts + Culture
Black Voices
Books
Business
Candidate Confessional
Celebrity
College
Comedy
Crime
Divorce
Dolce Vita
Eat the Press
Education
Election Results
Entertainment
Fifty
Good News
Green
Healthy Living
Highline
Home
Horoscopes
HuffPost Data
HuffPost Hill
Impact
Latino Voices
Media
Newsletters
Outspeak
Parents
Politics
Pollster
Queer Voices
Religion
Science
Small Business
So That Happened
Sports
Style
Taste
Tech
Teen
TestKitchen
Travel
TV
Weddings
Weird News
Women
FEATURED
OWN
Paving the Way
The Power Of Humanity
Retire Well
Sleep + Wellness
What's Working: Purpose + Profit
WorldPost
04/07/2017 03:09 pm ET | Updated 4 hours ago
What is your stance on AI research given Canada's privileged position in the field? originally appeared on Quora - the place to gain and share knowledge, empowering people to learn from others and better understand the world.
Answer by Justin Trudeau, 23rd Prime Minister of Canada, on Quora:
Ive been personally fascinated by AI ever since high school when I read books like Roger Penroses Emperors New Mind and Douglas Hofstadters The Minds I. So its really exciting for me to be able to encourage Canadian leadership in the field today.
You see, strong public support for research programs and world class expertise at Canadian universities has helped propel Canada to a position as leader in artificial intelligence and deep learning research and use. Canadian talent and ideas are in high demand around the worldbut activity needs to remain in Canada to harness the benefits from artificial intelligence.
Excerpt from:
What Canada is Doing to Retain Its Lead in Artificial Intelligence - Huffington Post
Posted in Artificial Intelligence
Comments Off on What Canada is Doing to Retain Its Lead in Artificial Intelligence – Huffington Post
Generation Us: Artificial intelligence may help combat isolation – The Daily Progress
Posted: at 8:59 pm
When we complain, feel lonely or are going through a hard time, its often said that all we really need is someone to listen to us, not try to fix things for us. Something like I hear what youre saying or I support you 100 percent will often work wonders, despite how robotic the supportive listener might feel the offering to be.
Well, then, what if an actual robot were offering this kind of emotional support? Could it be as effective as a human listener?
According to an Israeli research study completed last year, the answer is yes.
Study participants were asked to tell a personal story to a small desktop robot. Half the participants spoke to a robot that was unresponsive, while the other half spoke to a robot who responded with supportive comments and common gestures of understanding and sympathy, like nodding and turning to look the participant in the eye. Researchers found that people can develop attachments to responsive robots, and they have the same feelings and response behaviors they would have had if the listener had been human.
Rapid advances in artificial intelligence (AI) and robotics technology is creating all kinds of possibilities, and raising all kinds of questions, too. However, researchers are discovering that this new technology could most help most those who understand it the least: older adults.
Technologies like Siri and Alexa already exist that can help provide a natural language interface to online resources and that dont require keyboard skills or computer literacy, said Richard Adler, a distinguished research fellow at the Institute for the Future in Palo Alto, California, and a nationally recognized expert on the relationship between technology and aging. As this kind of technology becomes more powerful, it will become easier to use and more helpful.
In other words, Mom and Dad can interact with technology the same way they would with family and friends.
There are also interesting experiments underway to use AI for predictive monitoring that can do things like detect changes in gait that could signal a greater risk of falling, Adler said.
At Standford University, theres a special Artificial Intelligence Assisted Care Research Program in which researchers are developing AI technology that can monitor seniors in their homes using multiple sensors to detect lifestyle patterns, physical movements, vital signs even emotions and then use that data to accurately access the seniors health, safety and well-being.
Indeed, while AI technology is being developed that can help older adults directly, much of the research is being focused on providing support for caregivers, doctors and other health other care professionals. At the Stanford program, they are even working on an AI-powered ICU hospital unit that can monitor patients.
I see AI helping doctors make better diagnoses, managing patients remotely and helping to coordinate caregiving teams that could include both doctors and family members, Alder said.
And while AI like this is being developed to provide practical assistance, it is also being developed to provide human-like companion support as well, which can help reduce the isolation that often comes with living alone with limited mobility.
Thats the theory behind ElliQ (which takes its cue from the aforementioned Israeli research study), a new device thats being called an autonomous active-aging companion, and which is currently being tested with older adults in San Francisco. ElliQ, which looks more like a friendly extension lamp than a humanoid robot, can speak and respond with a combination of movements, sounds and light displays to convey shyness, assertiveness, and even sympathy and understanding.
For example, ElliQ might prompt you to take a walk if its a nice day outside, either with a gentle reminder or something more forceful, depending on what its learned about its owner. Some family photos might arrive on the tablet screen beside the robot, and ElliQ might tilt its little abstract head and say what a beautiful family you have. ElliQ also can provide reminders about taking medications, upcoming doctors appointments and caregiving schedules with a human touch.
If all this sounds like scary, Brave New World-type stuff, well, it is.
While Alder said there are many benefits to using AI technology, like better connecting older adults with caregivers, family members and health professionals, and reducing senior isolation, he has a few warnings.
I worry that AI and other media will be used to provide pseudo-social interactions rather than actual human interactions, he said, adding that theres also a danger in taking agency and privacy away from older adults in the name of better, more intrusive monitoring by others. My hope is that AI can be used to facilitate and orchestrate more and better human-to-human interactions. But the jury is still out on which way well go.
David McNair handles publicity, marketing, media relations and social media efforts for the Jefferson Area Board for Aging.
Originally posted here:
Generation Us: Artificial intelligence may help combat isolation - The Daily Progress
Posted in Artificial Intelligence
Comments Off on Generation Us: Artificial intelligence may help combat isolation – The Daily Progress
Why Artificial Intelligence Will Play a Big Role at This Year’s Masters … – Inc.com
Posted: at 8:59 pm
As the Masters Tournament kicks off on Thursday, nearly 100 golfers are vying to win the coveted green jacket. Collectively, they'll perform more than 20,000 drives, chips, and putts over the course of the weekend. So which ones will you, the viewer sitting at home or at work or watching on your phone, get to see?
That's what IBM's Watson is here to determine. Beginning this year, the artificial intelligence system will help the Masters quickly decide which highlights to push out to fans. Watson will use a variety of factors to assign every single shot an "excitement level" score to determine which replays to roll out to viewers.
According to Golf.com, the A.I. system measures how exciting a particular shot is based on the sound of the crowd's roar, the commentator's analysis, and the players' reactions. A chip that announcer Jim Nantz calls "nice" will get less of a bump than one he refers to as "outstanding," for example, and a golfer's polite wave to the crowd will be measured differently than an ecstatic fist pump.
Those factors then feed into an algorithm, which produces an "Overall Excitement Level" rating. The editorial team at Augusta National then uses those ratings to post the best highlights soon after they happen, so a viewer can catch up on the biggest moments he or she has missed that day or throughout the tournament.
The system is currently being used on Masters.com and the tournament's iPhone app. The plan is to eventually give fans more control, letting them filter the videos to show only highlights of their favorite golfers.
It's the latest application for Watson, the system that first gained fame for handily beating Ken Jennings at Jeopardy in 2011. Watson is used to recommend treatments for patients at some medical facilities, including the Cleveland Clinic and New York's Sloan-Kettering Cancer Center. And starting this year, H&R Block is using Watson's A.I. to help with client tax preparation.
Link:
Why Artificial Intelligence Will Play a Big Role at This Year's Masters ... - Inc.com
Posted in Artificial Intelligence
Comments Off on Why Artificial Intelligence Will Play a Big Role at This Year’s Masters … – Inc.com
TD Artificial Intelligence Innovation Day shows how AI can make business more human – BetaKit
Posted: at 8:59 pm
Far from the typical startup and tech venues, historic St. James Cathedral Centre in Toronto proved a wonderful setting for TD Banks AI Innovation Day. Why? Ironically, because it promoted a different way of thinking.
I know what youre thinking, and no, the event was not hosted in the nave of the church, but in the historic mansion-cum-conference centre building behind it.
Hearing the term AI might conjure up mental images of robots taking over humanity or perhaps that questionable Jude Law movie, but the Summit brought a different tune to the conversation: the power of humans and machines working together for the greater benefit of the human.
As a few speakers even suggested, artificial intelligence actually makes business more human.
The opening keynote, delivered by Nicolas Chapados of Element AI, looked at the history and uses of AI, deep learning, and machine learning. He described how these technologies are fundamentally changing business processes. Far from being fearful, though, Chapados comes with a message of hope, one echoed by Rizwan Khalfan, chief digital officer of TD Bank.
The past 10 years we thought of business as mobile-first, but now we are moving into business that very well could be AI-first, Khalfan said following the talks.
The trend of AI creating more human benefit starts with backend processes. Chapados gave the example of the trucking industry, a long-standing example of the massive displacement potential from AI. Instead of being fearful of lost jobs, Chapados encouraged the audience to not only look for gaps in the technology that can be filled by humans, but to rejoice in how AI technology can remove mundane or monotonous tasks from your plate.
AI has the ability to get large trucks moving just fine on highways without a driver, Chapados explained. But where the technology is severely lacking is getting self-driving transport trucks through city roads, turning corners, or navigating through tighter spaces. This is where humans come in.
He reasoned that drivers traditionally away from their families for weeks or months at a time, driving one truck across the continent and back could now go into a local control centre for their shift and guide multiple trucks in remote areas around the world. This not only offers more comfort and stability for the drivers, but can also nearly double asset (truck) utilization, says Chapados.
This sentiment was echoed both by Terry Hickey of IBM and the AI Expert Panel, all of whom talked about the positive employee and customer effects of integrating AI into your backend processes. Hickey talked about AI improving data security. The panel discussed how deep learning, at its core, is a repeatable model that will make humans more effective at their jobs as machines bring up insights and data in a couple of hours that humans could not process in a lifetime.
The AI expert panel conversation, featuring Cameron Shuler of the Alberta Machine Intelligence Institute (AMII); Sunil Rawat, co-founder and CEO of Omniscience; and SriSatish Ambati, co-founder and CEO of H2O.ai, dove into the framework required for companies to be active in the AI space and how to bring a cultural shift into the organization.
Moderator Marc Chalifoux, VP of FinTech innovation at TD Bank US, kicked off the panel by asking what framework a large company (or anyone new to AI) might need in order to properly understand AI and its applications. Overwhelmingly, the panel talked about the need to frame AI as a business solutions provider.
Are you going to get more revenues, more profit, higher profit margins, or better customer experiences? asked Shuler, half-ironically.
Break down your operations into micro-services, chimed in Ambati. and parse out the manual, routine, or boring tasks. Its likely that AI can take over portions of that so humans can do more.
This is often where the fear of displacement starts to set in for people on the other side of the coin those currently working in jobs at risk of automation. I pressed Khalfan for his thoughts on this, and his response was opportunity-focused.
Just like how many folks thought theyd lose their jobs from the mobile revolution, people fear that with AI. However, the reality is that there are so many other opportunities that become available because of AI.
But how do you take the employees from fearful to empowered? Give them opportunities to try new things a sentiment brought up by Ambati, and echoed by Khalfan later in our conversation.
Khalfan brought up the AI Day itself as one example; it was planned by junior people at the bank who wanted to learn more about the impact of AI in their world.
A culture of experimentation, as Ambati puts it, supported from the top-down, as Khalfan would later add, enabled those employees to bring their fears and concerns to the table and have an honest discussion about them.
This all leads to better outcomes for customers, as employees can now become the experts on new technologies and can share those insights with the outside world.
As companies grow, delivering on AI promises of great customer experiences at scale is a challenge. Luckily, two smart minds are on the case: Einstein and Watson.
Thanks to a partnership between IBMs Watson AI technology and Salesforces Einstein deep learning technology, engaging with community at scale has never been easier.
The best part? Its about technology making human lives better.
Hickey, during his keynote, talked about how Watson technology first came onto the scene when it famously beat Jeopardy champion Ken Jennings in 2011. From there, says Hickey, Watsons abilities have grown into something far less trivial healthcare.
Watson now does image processing, analyzes millions of data points, and offers a diagnosis to doctors. Beyond stating the diagnosis, however, Watson also cites the articles that led to the conclusion and offers other resources that the doctor may want to look at, explained Hickey.
In some trials, says Hickey, Watson even proved more accurate than doctors when it comes to diagnoses. However, this doesnt mean that Watson will be taking over that infamous website we all look at when we have the sniffles. Hickey remained adamant that Watson and AI in general should empower people to do their jobs better, not replace people with technology.
The partnership with Salesforce is no different. Hickey showed a video clip of Salesforce CEO Marc Benioff announcing the partnership, and his excitement was not for how much more sales Watson and Einstein will bring the company. Benioff was excited because this partnership meant Salesforce could better serve customers whenever they need help.
Benioff was particularly excited about the weather.
Salesforce is used by many insurance companies. With Watsons integration into the Einstein platform, Benioff gave the example that Salesforce can automatically let customers know to park their car in the garage when a nasty hail storm is coming, reducing the risk of vehicle damage and insurance claims. Insurance companies are happy because they pay out less. Customers enjoy undamaged cars and have the added benefit of feeling cared for by their insurance companies.
Einstein and Watson keep on plugging, none the wiser to the human impact they are making. But Benioff and IBM CEO Ginni Rometty know all too well that the technology they built is making a positive impact for their customers and their customers customers.
As the talks drew to a close, the panel turned to a much-talked about but often-misunderstood topic: the monetization of data.
Data is a horizontal play, said Ambati during the panel. The most effective uses of your data and the best opportunities to monetize dont come from your own industry.
Ambati continued by giving an example of airlines. They [airlines] can estimate and chart population growth in a city better than anyone, he started, but the most impactful uses of that data come from other industries [such as urban city planning]. Data cannot be in a silo.
This opens up a lot of questions about the balance of user privacy versus finding the most impactful ways to use data, but the panel was not concerned, with Rawat stating that convenience will trump total privacy, and customers will push it forward.
AI might be less complex than it seems in some areas and more complex in others, but the robots are coming, as Hickey mentioned in his talk, and we would do well to not be afraid of them theyre here to help.
The rest is here:
TD Artificial Intelligence Innovation Day shows how AI can make business more human - BetaKit
Posted in Artificial Intelligence
Comments Off on TD Artificial Intelligence Innovation Day shows how AI can make business more human – BetaKit
Memes could be the key to predicting the future | Digit.in – Digit
Posted: at 8:59 pm
A meme is more than just the humorous images that you share online, and in fact, encapsulates any cultural idea or trend that is passed on from person to person. And in case, we got you thinking if there is some underlying phenomenon deeper than what is observable with a cursory glance - hats off to us *cue self back pats*
But the real task lies ahead. There is something deeper and more organic underlying the entire meme culture and internet behavior in general, something that distinguishes what a meme is and at the same time connects all the memes into a single, giant, amalgamate that does way more than offer you your daily dose of humor. To truly grasp this idea, we have to go down the proverbial rabbit hole.
While the analogy between memes and genes is surely one that makes it easier to grasp the definition of the meme as given by Richard Dawkins, it is not entirely true, or rather, it is not the entire truth. What comes in handy, though, is an alternative line of thought in memetics one that perceives the meme as a virus.
Dont reach out for your hand sanitizers and air purifiers just yet; this isnt a typical virus we are talking about. This isnt biological or computerised, at least not in itself. So why do we need to think about it this way? First of all, subscribing to the gene theory is prone to a couple of misconceptions. First, genes dont spread only through replication. In fact, it is the repeated errors that introduce mutation - a key factor in evolution, the reason you and I exist. A simple exercise in observation and thought tells us that a meme actually exists because of transformation or manipulation of a base idea before it is spread - even if the manipulation is nothing more than the addition of ones opinion to the idea (Case in point - almost no two meme images that you see online are the same, even if they are based on the exact same meme). Genes mostly replicate unaltered, with a modification or mutation creeping in as a rarity. Memes mutate more frequently. It makes more sense to understand that like the process of evolution with genes, memes actually mutate in majority, and in this mutation lies the key to an evolved, persistent fit meme that survives.
Will there be a time when ideas no longer need humans to spread and persist?
While showing why a meme is mostly like a gene is a step in the right direction, it doesnt get you all the way. A similarity between memes and viruses lies in the way that it behaves with you the individual, the consumer, the reader. A typical parasite needs a conductive medium to spread you usually do not catch a cold in the middle of the summer or contract a deadly virus in a squeaky clean locality. And never before has there been a more suitable environment for the spread of ideas than the internet. But even before that, ideas always had their own ways of getting spread around be it through libraries, public gatherings, entertainment media and more.
A typical virus enters your body, reacts with it, attacks it or alters it, and either gets rejected and quarantined or accepted and forwarded. Just like that, an idea, once it reaches the end point of your mind, either persists there or gets dismissed. In the case of the former, you become the host to that idea, comprehending and interpreting it, in turn changing your own understanding of it. In the end, it is you, the host, that is affected by the idea while the idea still lies out there in its initial unaffected-by-you form and also in your own variation of it, in either case looking at being spread further as Daniel Dennett wonderfully said, a scholar is a librarys way of making another library.
We cannot get away with establishing that a meme is like a virus and then not explaining how it can behave. Since, undoubtedly, there are specific, underlying rules that govern it and, in turn, you. While not exhaustive, there are some maxims that have been identified which shed some light on this collectively sometimes referred to as the rules of the internet. Memes create stereotypes, stereotypes create the memes and so on it goes. Just like genes, it is not possible to comprehend the characteristics of a meme in isolation. Genes usually have phenotypic effects in the presence of other genes. Similarly, memes spread in the presence of certain favorable behaviour patterns. And to understand these patterns, one needs to look at the underlying rules mentioned earlier. Keep in mind though, that these rules represent a small part of a much larger system of maxims constantly being modified and updated to reach absolute ideas, so what appears funny to you today, might be a grave and serious truth tomorrow. But for today, these memes inform you of numerous stereotypes and go on to point out how they ideally behave. For instance:
Dont get us wrong stereotypes have always existed. But things work a bit differently when they are spread on the internet. Urban legends have always been a meme, but they are now spread to way more people with access to the internet and receive much more credibility thanks to technology aiding false evidence. For example, Slenderman was a fictional creature created for an online contest in 2009, the mythos of which was further expanded in the years to come. After reading a creepypasta (which itself is simply creepy stories copied and pasted all over the internet) about him, two 12 year olds in Waukesha, Wisconsin stabbed a third one 19 times to appease the fictional creature and keep their families safe from him. The girl barely survived and the trial is still ongoing. And this was a faceless man who had tentacles coming out of his back.
Urban legends are memes that have been taken a bit too seriously
If youre pondering on why they would do that, the 1% rule of the internet in combination with Poes law (both being part of the maxims that were referred to earlier, mentioned in separate box) makes it much easier to understand that a fake idea, no matter how outrageous it might be, if presented well on the internet (i.e without the obvious disclaimers that Poes law specifies) might just be perceived as gospel truth. If you use a meme to describe a person repeatedly, at one point of time there will be people who would have formed that opinion about that very person, without verification. But you dont have to reach out to a lesser known case to see this in action.
Weve all heard the statement Dont feed the trolls, or one of its modifications (once again, a meme) and have generally accepted it as the right course of action against the spreading of obvious misinformation or plainly stupid arguments - for example, comparison to Nazis as outlined in Godwins law. But this has led to a very interesting phenomenon that has impacted one of the most important events in recent times - the 2016 Presidential Election.
Without memes, there might have been a completely different person in the oval office right now
The general consensus (online) about the alt-right (or conservatives or whatever you might call the side that won) was that their arguments are silly, baseless and easily seen through A.K.A trolling. Hence the widespread reaction to those very arguments was outright dismissal. But not doing anything about that eventually led to the general populace of the country into believing the satire-laden trolling to be genuine facts in most cases. Just like how Facebooks fake news problem, triggered by switching trending topics to a purely algorithmic process from human curation, was unable to distinguish baseless trends from genuine news and ended up influencing a lot of people. If this does not instate the validity of Poes law, we dont know what will.
On the other hand, outright denial or declaration of your victory online also loses you any argument that you might be involved in because of the exact same reasons. Danths law (see box) comes into action more often than you think it does, and if you stay behind to check whether your declaration has been accepted by others in the argument or not, even after youve declared youre leaving, youd be fulfilling Shakers law. Still believe that there isnt an unseen set of rules that govern the memes, and your, behaviour?
While some of the maxims that apply to the internet have been mentioned in the article, here is an expanded list of what we believe to be the governing rules of online behavior:
Badgers Law Websites with the word Truth in the URL have none in the posted content.
Danths Law If you have to insist that youve won an Internet argument, youve probably lost badly.
Godwins law As an online discussion grows longer, the probability of a comparison involving Hitler approaches 1
Poes Law Without a clear indication of the authors intent, it is difficult or impossible to tell the difference between an expression of sincere extremism and a parody of extremism.
Rule 34 If it exists, theres porn of it
Skitts law Any post correcting an error in another post will contain at least one error itself
Law of Exclamation The more exclamation points used in an email (or other postings), the more likely it is a complete lie. This is also true for excessive capital letters.
Cohens Law Whoever resorts to the argument whoever resorts to the argument that... has automatically lost the debate has automatically lost the debate.
Shakers Law Those who egregiously announce their imminent departure from an Internet discussion forum almost never actually leave.
Skarkas Law On internet messageboards, there is no subject so vile or indefensible that someone wont post positively/in defence of it.
Shanks Law The imaginative powers of the human mind have yet to rise to the challenge of concocting a conspiracy theory so batshit insane that one cannot find at least one PhD holding scientist to support it.
Wiios Law Communication usually fails, except by accident
Sturgeons Law 90% of everything is crap
The 1% Rule The 1% rule states that the number of people who create content on the Internet represents approximately 1% of the people actually viewing that content.
Cunninghams Law The best way to get the right answer on the Internet is not to ask a question, its to post the wrong answer.
While most of our mental schema is wired to keep us focussed and occupied with whats at hand, memes, with their inherent imageability and repetitive nature, help us process abstractions faster. While this is beneficial, abstraction also leads to an unavoidable problem: we begin to view memes as concrete units, where they are not. This is what lets us be able to wage an actual war against an abstract idea (terrorism) or a particular class of chemical compounds (drugs). This leads to belief systems that are not entirely robust against questioning or dire situations, in which we unconsciously propagate those very memes. And generally, these are simple, catchy, easy-to-grasp ideas - just because they are easier to retain and rehearse.
Acknowledging the meme in its true form as a connected pseudo-organism that influences individual, and in turn, social behaviour can be more beneficial than you think. As an analogy, the first step you take against a virus outbreak is acknowledge that there is an outbreak. Its just that in this case, the outbreak can be controlled to influence certain people in certain ways. And these unseen rules, which perhaps now youll be more perceptive tobenefit the understanding, hence predictability, of how memes behave. This underlying system, this blueprint to the organism that now lies on the fringes of awareness when it comes to the general populace, will someday be viewed as what shaped the world as we will know it.
This article was first published in March 2017 issue of Digit magazine. To read Digit's articles first,subscribe hereor download the Digit e-magazine app for Android and iOS. You could also buy Digit's previous issueshere.
Samsung On7 Pro (Gold)
Moto G Plus, 4th Gen (Black, 16...
Lenovo Z2 Plus (White, 32GB)
Top launches of the week: May 22, 2015
6 weird inventions that tried too hard
Top launches of the week: June 5, 2015
Top launches of the week: June 12, 2015
Top launches of the week: May 29, 2015
Top stories of the week: May 22, 2015
Top stories of the week: May 29, 2015
The Intel Compute Stick, in pictures
Top stories of the week : June 12, 2015
Top stories of the week: June 5, 2015
In pictures: ETI Dynamic's Solar Electric Hybrid Vehicle
17 upcoming movies of 2015 that have us excited
5 great gadget deals under Rs 10,000
Top stories of the week: May 15, 2015
Best tech you can buy on a budget
Top launches of the week: May 15, 2015
Continued here:
Memes could be the key to predicting the future | Digit.in - Digit
Posted in Memetics
Comments Off on Memes could be the key to predicting the future | Digit.in – Digit