VA Looking to Expand Usage of Artificial Intelligence Data – GovernmentCIO Media

The agency is looking at how to best apply curated data sets to new use cases.

The Department of Veterans Affairs is closer to expanding its use of artificial intelligence and developing novel use cases.

In looking back on the early stages of the VAs newly launched artificial intelligence program, the department's Director of AI Gil Alterovitz noted ongoing questions about how to best leverage AI data sets for secondary uses.

One of the interesting challenges is often that data is collected for maybe one reason, and it may be used for analyzing and finding results for that one particular reason. But there may be other uses for that data as well. So when you get to secondary uses you have to examine a number of challenges, he said at AFCEA's Automation Transformation conference.

Some of the most pressing concerns the VAs AI program hasencountered include questions of how to best apply curated data sets to newfound use cases, as well as how to properly navigate consent of use for proprietary medical data.

Considering the specificity of use cases, particularly for advanced medical diagnostics and predictive analytics, Alterovitz has proposed releasing broader ecosystems of data sets that can be chosen and applied depending on the demands of specific AI projects.

Theres a lot to think about data sets and how they work together. Rather than release one data set, consider releasing an ecosystem of data sets that are related," he said."Imagine, for example, someone is searching for a trial you have information about. Consider the patient looking for the trial, the physician, the demographics, pieces of information about the trial itself, where its located. Having all that put together makes for an efficient use case and allows us to better work together."

Alterovitz also discussed the value of combining structured and unstructured data sets in AI projects, a methodology that Veterans Affairs has found to provide stronger results than using structured data alone.

When you look at unstructured data, there have been a number of studies in health care looking at medical records where if you look at only structured data or only unstructured data individually, you dont get as much of a predictive capability whether it be for diagnostics or prognostics as by combining them, he said.

Beyond refining and expanding these data applications methodologies, the VA also appears attentive to how to best leverage proprietary medical data while protecting personally identifying information.

The solution appears to lie in creating synthetic data sets that mimic the statistical parameters and overall metrics of a given data set while obscuring the particularities of the original data set it was sourced from.

How do you make data available considering privacy and other concerns?" Alterovitz said."One area is synthetic data, essentially looking at the statistics of the underlying data and creating a new data set that has the same statistics, but cant be identified because it generates at the individual level a completely different data set that has similar statistics."

Similarly, creating select variation within a given data set can serve to remove the possibility of identifying the patient source, You can take the data, and then vary that information so that its not the exact same information you received, but is maybe 20% different. This makes it so you can show its statistically not possible to identify that given patient with confidence.

Going forward, the VA appears intent on solving these quandaries so as to best inform expanded AI research.

A lot of the data we have wasnt originally designed for AI. How you make it designed and ready for use in AI is a challenge and one that has a number of different potential avenues, Alterovitz concluded

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VA Looking to Expand Usage of Artificial Intelligence Data - GovernmentCIO Media

New blood test study uses artificial intelligence to identify cancer. But its not ready for patients yet. – Cancer Research UK – Science Blog

Credit: Vascular Development Laboratory and EM Unit

A blood test that can detect over 50 cancer types is big news this week.

Theres a lot of excitement around the latest research, published in Annals of Oncology. And its easy to see why.

Scientists have used machine learning to help identify if someone has cancer based on tiny bits of tumour DNA floating in their blood. Which could open the door to a blood test that can detect and identify multiple types of cancer.

But its not there yet. And in the blood test buzz, some news articles have missed out crucial details.

The team looked for differences in the DNA shed from cancer cells and healthy cells into the blood.

They focused on differences in a chemical tag that sit on top of DNA in cells, called methyl groups. These groups are usually spread evenly across the DNA in cells, but in cancer cells they tend to cluster at different points. And its this distinction scientists wanted to exploit.

They trained a machine learning algorithm a type of artificial intelligence that pick up patterns and signals to detect differences between methylation patterns in DNA from cancer and non-cancer cells.

The algorithm was trained on 3,052 samples from people with and without cancer from two large databases.

And once the program was fired up and ready to go, the team tested its cancer-spotting ability on a different set of 1,264 samples f, half of which were from people with cancer.

Any test with the goal of being able to detect cancers at their earliest stages in people without symptoms must strike the right balance between picking up cancer (sensitivity) and not giving false positives (specificity). Weve blogged before about what makes a good cancer test, as well as the efforts to develop a cancer blood test.

How do you assess a cancer test?

Researchers look at 3 main things when assessing a new diagnostic test.

Firstly the good news: fewer than 1% of people without cancer were wrongly identified as having the disease. Which is a good sign for the specificity of this test.

And when it came to detecting cancer, across all types of cancer, the test correctly identified the disease in 55% of cases. This is a measure of the tests sensitivity.

But there was a huge variation in sensitivity depending on the type of cancer and how advanced the disease was. The test was better at picking up more advanced cancer, which makes sense more advanced cancers typically shed more DNA into the bloodstream.

If we look at the numbers, across all cancer types the test correctly detected the disease in 93% of those with stage 4 cancer, but only 18% of early, stage 1 cancers.

An important consideration is that the study was only testing if the algorithm could detect cancer in patients who were already known to have cancer. According to the researchers, these figures may change if the test was used on a wider, general population.

Encouragingly for a multicancer test, when the researchers looked at a smaller number of samples to explore if the test helped them identify where the cancer was growing, the algorithm was able to predict the location in 96% of samples, and it was accurate in 93%.

First things first, although the samples numbers are big, they become a lot smaller when you break them down by cancer type and cancer stage. Some cancer types were particularly poorly represented, with only 1 or 2 samples included in the final analysis so theres more work to do there. Based on this, its a bit too soon to say that the test can pick up 50 cancer types.

And if the plan is to use this as a screening tool, then the researchers will need to do more to study people who didnt have symptoms when they were diagnosed. The current study included people who were symptomatic as well as people without symptoms.

And the participant data lacked variation in age, race and ethnicity. Between 83 and 87% of all the samples used to train and test the algorithm were Caucasian.

The big conclusion is that these results are encouraging and should be taken forward into bigger studies. But its important to put the results in context theyre a step in the right direction. There are a lot of steps between this study and a fully-fledged cancer test.

According to the research team, they plan to validate the results using samples from US and UK studies, and well as to begin to examine if the test could be used to screen for cancer. We look forward to seeing the results.

Our head of early detection research, Dr David Crosby, sums it up nicely: Although this test is still at an early stage of development, the initial results are encouraging. And if the test can be fine-tuned to be more efficient at catching cancers in their earliest stages, it could become a tool for early detection.

But more research is needed to improve the tests ability to catch early cancers and we still need to explore how it might work in a real cancer screening scenario.

Lilly

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New blood test study uses artificial intelligence to identify cancer. But its not ready for patients yet. - Cancer Research UK - Science Blog

Global Artificial Intelligence in Healthcare Market – Premium Insight, Competitive News Feed Analysis, Company Usability Profiles, Market Sizing &…

The Global Artificial Intelligence in Healthcare Market is expected to grow from USD 2,178. 37 Million in 2018 to USD 10,578. 45 Million by the end of 2025 at a Compound Annual Growth Rate (CAGR) of 25.

New York, March 28, 2020 (GLOBE NEWSWIRE) -- Reportlinker.com announces the release of the report "Global Artificial Intelligence in Healthcare Market - Premium Insight, Competitive News Feed Analysis, Company Usability Profiles, Market Sizing & Forecasts to 2025" - https://www.reportlinker.com/p05871979/?utm_source=GNW 32%.

The positioning of the Global Artificial Intelligence in Healthcare Market vendors in FPNV Positioning Matrix are determined by Business Strategy (Business Growth, Industry Coverage, Financial Viability, and Channel Support) and Product Satisfaction (Value for Money, Ease of Use, Product Features, and Customer Support) and placed into four quadrants (F: Forefront, P: Pathfinders, N: Niche, and V: Vital).

The report deeply explores the recent significant developments by the leading vendors and innovation profiles in the Global Artificial Intelligence in Healthcare Market including are Google, IBM, Intel, Microsoft, NVIDIA, Amazon Web Services, General Electric Company, Medtronic, Micron Technology, and Siemens Healthineers.

On the basis of Offering, the Global Artificial Intelligence in Healthcare Market is studied across Hardware, Services, and Software.

On the basis of Technology, the Global Artificial Intelligence in Healthcare Market is studied across Computer Vision, Context-Aware Computing, Machine Learning, Natural Language Processing, and Querying Method.

On the basis of Application, the Global Artificial Intelligence in Healthcare Market is studied across Clinical Trial Participant Identifier, Cybersecurity, Drug Discovery, Emergency Room & Robot-Assisted Surgery, Fraud Detection, Healthcare Assistance Robots, Inpatient Care & Hospital Management, Lifestyle Management & Monitoring, Medical Imaging & Diagnostics, Patient Data and Risk Analysis, Precision Medicine, Research, Virtual Assistant, and Wearables.

On the basis of End User, the Global Artificial Intelligence in Healthcare Market is studied across Healthcare Payers, Hospitals and Providers, Patients, and Pharmaceutical and Biotechnology Companies.

For the detailed coverage of the study, the market has been geographically divided into the Americas, Asia-Pacific, and Europe, Middle East & Africa. The report provides details of qualitative and quantitative insights about the major countries in the region and taps the major regional developments in detail.

In the report, we have covered two proprietary models, the FPNV Positioning Matrix and Competitive Strategic Window. The FPNV Positioning Matrix analyses the competitive market place for the players in terms of product satisfaction and business strategy they adopt to sustain in the market. The Competitive Strategic Window analyses the competitive landscape in terms of markets, applications, and geographies. The Competitive Strategic Window helps the vendor define an alignment or fit between their capabilities and opportunities for future growth prospects. During a forecast period, it defines the optimal or favorable fit for the vendors to adopt successive merger and acquisitions strategies, geography expansion, research & development, new product introduction strategies to execute further business expansion and growth.

Research Methodology:Our market forecasting is based on a market model derived from market connectivity, dynamics, and identified influential factors around which assumptions about the market are made. These assumptions are enlightened by fact-bases, put by primary and secondary research instruments, regressive analysis and an extensive connect with industry people. Market forecasting derived from in-depth understanding attained from future market spending patterns provides quantified insight to support your decision-making process. The interview is recorded, and the information gathered in put on the drawing board with the information collected through secondary research.

The report provides insights on the following pointers:1. Market Penetration: Provides comprehensive information on sulfuric acid offered by the key players in the Global Artificial Intelligence in Healthcare Market 2. Product Development & Innovation: Provides intelligent insights on future technologies, R&D activities, and new product developments in the Global Artificial Intelligence in Healthcare Market 3. Market Development: Provides in-depth information about lucrative emerging markets and analyzes the markets for the Global Artificial Intelligence in Healthcare Market 4. Market Diversification: Provides detailed information about new products launches, untapped geographies, recent developments, and investments in the Global Artificial Intelligence in Healthcare Market 5. Competitive Assessment & Intelligence: Provides an exhaustive assessment of market shares, strategies, products, and manufacturing capabilities of the leading players in the Global Artificial Intelligence in Healthcare Market

The report answers questions such as:1. What is the market size of Artificial Intelligence in Healthcare market in the Global?2. What are the factors that affect the growth in the Global Artificial Intelligence in Healthcare Market over the forecast period?3. What is the competitive position in the Global Artificial Intelligence in Healthcare Market?4. Which are the best product areas to be invested in over the forecast period in the Global Artificial Intelligence in Healthcare Market?5. What are the opportunities in the Global Artificial Intelligence in Healthcare Market?6. What are the modes of entering the Global Artificial Intelligence in Healthcare Market?Read the full report: https://www.reportlinker.com/p05871979/?utm_source=GNW

About ReportlinkerReportLinker is an award-winning market research solution. Reportlinker finds and organizes the latest industry data so you get all the market research you need - instantly, in one place.

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Global Artificial Intelligence in Healthcare Market - Premium Insight, Competitive News Feed Analysis, Company Usability Profiles, Market Sizing &...

The Global Artificial Intelligence in Aviation Market is expected to grow from USD 214.36 Million in 2018 to USD 1,824.46 Million by the end of 2025…

The positioning of the Global Artificial Intelligence in Aviation Market vendors in FPNV Positioning Matrix are determined by Business Strategy (Business Growth, Industry Coverage, Financial Viability, and Channel Support) and Product Satisfaction (Value for Money, Ease of Use, Product Features, and Customer Support) and placed into four quadrants (F: Forefront, P: Pathfinders, N: Niche, and V: Vital).

New York, March 28, 2020 (GLOBE NEWSWIRE) -- Reportlinker.com announces the release of the report "Global Artificial Intelligence in Aviation Market - Premium Insight, Competitive News Feed Analysis, Company Usability Profiles, Market Sizing & Forecasts to 2025" - https://www.reportlinker.com/p05871978/?utm_source=GNW

The report deeply explores the recent significant developments by the leading vendors and innovation profiles in the Global Artificial Intelligence in Aviation Market including are Intel, Micron, Nvidia, Samsung Electronics, Xilinx, Airbus, Amazon, Boeing, Garmin, GE, IBM, Lockheed Martin, Microsoft, and Thales.

On the basis of Technology, the Global Artificial Intelligence in Aviation Market is studied across Computer Vision, Context Awareness Computing, Machine Learning, and Natural Language Processing (Nlp).

On the basis of Offering, the Global Artificial Intelligence in Aviation Market is studied across Hardware, Services, and Software.

On the basis of Application, the Global Artificial Intelligence in Aviation Market is studied across Dynamic Pricing, Flight Operations, Manufacturing, Smart Maintenance, Surveillance, Training, and Virtual Assistants.

For the detailed coverage of the study, the market has been geographically divided into the Americas, Asia-Pacific, and Europe, Middle East & Africa. The report provides details of qualitative and quantitative insights about the major countries in the region and taps the major regional developments in detail.

In the report, we have covered two proprietary models, the FPNV Positioning Matrix and Competitive Strategic Window. The FPNV Positioning Matrix analyses the competitive market place for the players in terms of product satisfaction and business strategy they adopt to sustain in the market. The Competitive Strategic Window analyses the competitive landscape in terms of markets, applications, and geographies. The Competitive Strategic Window helps the vendor define an alignment or fit between their capabilities and opportunities for future growth prospects. During a forecast period, it defines the optimal or favorable fit for the vendors to adopt successive merger and acquisitions strategies, geography expansion, research & development, new product introduction strategies to execute further business expansion and growth.

Research Methodology:Our market forecasting is based on a market model derived from market connectivity, dynamics, and identified influential factors around which assumptions about the market are made. These assumptions are enlightened by fact-bases, put by primary and secondary research instruments, regressive analysis and an extensive connect with industry people. Market forecasting derived from in-depth understanding attained from future market spending patterns provides quantified insight to support your decision-making process. The interview is recorded, and the information gathered in put on the drawing board with the information collected through secondary research.

The report provides insights on the following pointers:1. Market Penetration: Provides comprehensive information on sulfuric acid offered by the key players in the Global Artificial Intelligence in Aviation Market 2. Product Development & Innovation: Provides intelligent insights on future technologies, R&D activities, and new product developments in the Global Artificial Intelligence in Aviation Market 3. Market Development: Provides in-depth information about lucrative emerging markets and analyzes the markets for the Global Artificial Intelligence in Aviation Market 4. Market Diversification: Provides detailed information about new products launches, untapped geographies, recent developments, and investments in the Global Artificial Intelligence in Aviation Market 5. Competitive Assessment & Intelligence: Provides an exhaustive assessment of market shares, strategies, products, and manufacturing capabilities of the leading players in the Global Artificial Intelligence in Aviation Market

The report answers questions such as:1. What is the market size of Artificial Intelligence in Aviation market in the Global?2. What are the factors that affect the growth in the Global Artificial Intelligence in Aviation Market over the forecast period?3. What is the competitive position in the Global Artificial Intelligence in Aviation Market?4. Which are the best product areas to be invested in over the forecast period in the Global Artificial Intelligence in Aviation Market?5. What are the opportunities in the Global Artificial Intelligence in Aviation Market?6. What are the modes of entering the Global Artificial Intelligence in Aviation Market?Read the full report: https://www.reportlinker.com/p05871978/?utm_source=GNW

About ReportlinkerReportLinker is an award-winning market research solution. Reportlinker finds and organizes the latest industry data so you get all the market research you need - instantly, in one place.

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The Global Artificial Intelligence in Aviation Market is expected to grow from USD 214.36 Million in 2018 to USD 1,824.46 Million by the end of 2025...

Is artificial intelligence the answer to disease prevention? – The Burn-In

COVID-19 has taken the world by storm. Lockdowns, quarantines, and shutdowns have created an unpredictable scenario that looks almost apocalyptic. But with the right kind of precautionary measures, knowledge, and resources, we can fight this too. This global crisis is a glaring reminder of the gap between what our current healthcare systems can handle and what they should be equipped to handle.

To bridge this gap and in order to provide the needed care to those affected, Artificial Intelligence (AI) might just be our best bet.

Epidemiology tracks the source of an outbreak and analyzes which sections of the population face the highest risk. With AI, it can become easier to find the pattern of the course of the outbreak and then to predict possibly affected people.

Consider Blue Dot, an Artificial Intelligence agency from Canada that predicted the coronavirus outbreak days before it happened. This AI works by using data from around the world in different languages to comprehensively analyze trends in the disease patterns. This allows it to predict public outbreaks and track infectious diseases before they spread too much.

Using data of population sections, vulnerabilities, and previous diseases, AI can predict the possible turn of events with a pandemic such as a coronavirus. For example, we now know that COVID-19 affects people with respiratory diseases and elderly people more. With this knowledge, AI can use data analysis and predict that areas with larger populations of elderly people or countries with a high number of people with respiratory problems, will be most affected by COVID-19. Military veterans who have been exposed to asbestos become especially susceptible to something like coronavirus because of their compromised respiratory systems. This kind of information can become crucial in controlling COVID-19 from becoming fatal globally.

Currently, there are also cases of hackers stealing information with coronavirus map-tracker malware. Centralized AI performing this activity could have stopped this malware from reaching people. In this moment of widespread anxiety, it is important that we ensure we are reading the correct information and sharing information with safe sources.

In countries such as China and Italy, COVID-19 could only be controlled once its presence became known. Detecting disease before its too late might be one of the most important contributions AI can make to medical science.

An article on GCN by Steve Bennett, former director of the National Biosurveillance Integration Center within the Department of Homeland Security, talks about the potential of AI in terms of coronavirus. He writes that there are pilot approaches that use machine learning to mine social media data for indications of unusual flu symptoms. AI can also be used to examine near-real-time emergency medical services and ambulance data, using ML (machine learning) to look for anomalies in the medical notes as patients were admitted to hospitals. In these instances, AI was able to detect the disease much faster than physical tests saving it from spreading and also ensuring that patients get the treatment in time.

In terms of outbreaks such as COVID-19, early detection is key to both saving lives as well as keeping economies stable. As early as 2009, researchers were using data streams available via internet activity to monitor for listeria outbreaks. Studies like this can be used as roadmaps for AI outbreak detection research.

AI can also be of use in determining which treatments are the most effective for COVID-19. For example, if a treatment helps a patient recover faster in China, then AI can use that information to model and then apply the same treatment in Italy. In turn, AI can also quickly analyze other such cases and reach a possible method of treatment faster than humans alone.

Unfortunately, there is still no reliable vaccine for coronavirus leaving mankind vulnerable to it. It is especially difficult to find preventative and curative alternatives in todays post-antibiotic area. As stated by experts at Sani Professional, superbugs and new diseases are emerging that have greater resistance to common cleaners and chemicals we rely on to sanitize, disinfect, and clean up spaces and tools every day. That being said, there is a lot of research being done on possible cures in the form of antibody research. Since it is still too early to know a specific time when the vaccine or an alternate immediate treatment will be available, the use of AI might help to speed up the process, and possibly highlight other avenues for curative research. Heavy hitters like IBM and Amazon are offering up their supercomputers to help with the research.

Amidst the chaos and the flood of information, it is important that we put our safety first. Getting correct information from trusted sources is the first step towards this. Use updates from National Health Services, the WHO and more to keep yourself abreast of the current situation. It is especially important to comply with any imposed travel restrictions, and take precautions in case youre planning to travel. Unless it is absolutely necessary, it is best to stay at home and wait for this pandemic to pass. Regularly washing your hands for 20 seconds (with soap) and social distancing, are key to protecting yourself and those around you from this disease.

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Is artificial intelligence the answer to disease prevention? - The Burn-In

Why transparency is key to promoting trust in artificial intelligence – IT PRO

Artificial intelligence (AI) is inescapable. In our daily lives we probably encounter it and its best friend machine learning much more frequently than we think. Did you buy something online yesterday, use face login on your smartphone, check your Facebook, look for something on Google, or use Google Maps? AI was right there.

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When AI is helping us find the most efficient route home, were often quite happy to let it do its job. But this technology already does so much more, from helping to decide whether to grant us bank loans and diagnose our illnesses, to presenting targeted advertising.

As AI gets more and more embedded in our lives and helps make decisions that are increasingly significant to us, were rightly concerned about transparency. When big new stories like the Cambridge Analytica scandal or ongoing discussion around inherent biases in facial recognition hit the headlines, we are concerned about bias (intentional or otherwise), and our trust in AI takes a hit.

Explainable AI gives us a route to greater trust in AI. It is designed to help us learn more about how AI works in any given situation. So, instead of the AI just giving us an answer to a question, it shows us how it got to the answer. The alternative is the so-called black box situation where an AI uses an unspecified range of information and algorithms to get to an answer, but doesnt make any of this transparent.

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In theory, explainable AI gives us confidence in the conclusions an AI system draws. Dr Terence Tse, Associate Professor of Finance at ESCP Business School, gives the following example: Imagine you want to obtain a loan and the approval is purely determined by an algorithm. Your loan gets rejected. If the algorithm in question is a black box its an issue for all parties. The bank cannot say why this is happening, and you don't know what to do in order to obtain the loan. Having explainable AI will help.

Explainable AI is a vital aspect of understanding an AIs competence in coming up with any particular set of outputs. Mark Stefik, Research Fellow and Lead of Explainable AI at PARC, a Xerox company, tells IT Pro: Typically, when people interact with AIs and the systems do the right thing, then people overestimate the AIs competence. They assume that the machines think like people, which they do not. They assume that machines have common sense, which they do not.

In fact, AI does not think like humans do at all. We use think in relation to AI to describe a way of working that in reality is different to that of our own brains. AI uses algorithms and machine learning to help it draw conclusions from data it is given, or from insights it generates. In showing how an AI has reached its decision, explainable AI can help uncover biases and in doing so not only provide individuals with redress, as in the banking example above, but also help refine the AI system itself.

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Oleg Rogynskyy, Founder and CEO of People.ai says: A lack of explainability on how the machine learning model thinks can result in biases. If there is a bias hidden in the data set a machine learning model is trained on, it will consider the bias a ground truth.

Explainability techniques can be used to detect and then remove biases and ensure a level of trust between the machines and the user.

As AI takes an increasingly important role in our everyday lives, we are getting more and more concerned about whether we can trust it. As Stefik puts it: The need for explainable AI increases if we want to use the systems in critical situations, where there are real consequences for good and bad decisions. People want to know when they can trust the systems before they rely on them.

The IT Pro Podcast: Looking forward to 2020

With 2019 behind us, we predict what trends the IT industry can expect over the next year

The industry recognises this need. In a recent IBM survey of 4,500 IT decision makers, 83% of respondents said being able to explain how AI arrived at a decision was universally important. That number rose to 92% among those already deploying AI, as opposed to 75% of those considering a deployment.

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Rogynskyy is unequivocal in his message, saying: Explainable AI must be prevalent everywhere. Tse was similarly forthright, adding: If we want to gain public trust in the deployment of AI, we have to make explainable AI a priority.

Stefik, however, has reservations, particularly when it comes to how we define terms like trust and explainable, which he argues are nuanced and complex concepts. Nevertheless, he hasnt written explainable AI off completely, saying: It is not ready as a complete (or well-defined) approach to making trustworthy systems, but it will be part of the solution.

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Why transparency is key to promoting trust in artificial intelligence - IT PRO

Coronavirus: Spain to use artificial intelligence to automate testing – ComputerWeekly.com

The Spanish government is planning to test 80,000 people a day for coronavirus with the roll-out of robot testers.

Technology will be used to speed up testing of people in Spain, one of the countries hardest hit by the Covid-19 outbreak, with more than 200 deaths so far. According to Bloomberg, Spanish authorities now plan to increase daily testing from about 20,000 a day to 80,000, by using four robots to apply artificial intelligence (AI) to testing.

Speaking at a conference on Saturday 21 March, Raquel Yotti, head of Madrids health institute, said: A plan to automate tests through robots has already been designed and Spain has committed to buying four robots that will allow us to execute 80,000 tests per day.

Because of the ease that coronavirus spreads from person to person, testing has been identified as one of the best ways to control the disease. But testing has cost and resource limitations. Applying AI and robot technology could help overcome these problems, while reducing medical practitioners exposure to the virus.

No further details have been given about how the robots will work, but AI is increasingly being designed to work in the healthcare industry by automating some of the work of medical staff, giving them more time to treat patients.

The technology has proved successful in medical trials, including identifying cancer in breast scans.

A research paper from Google Health, published inNaturemagazine, has reported that machine learning, based on Googles TensorFlow algorithm, can be used to reduce false positives in breast cancer scans. A false positive is when a mammogram scan is incorrectly identified as cancerous, and a false negative is when it is wrongly diagnosed as not being cancerous.

In the Google Health paper, based on training an AI algorithm to identify breast cancer using a large representativedataset from the UK and the US, the researchers reported an absolute reduction of 5.7% in false positives in the US dataset, while the UK dataset showed a 1.2% reduction in false positives.

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Coronavirus: Spain to use artificial intelligence to automate testing - ComputerWeekly.com

Bridging the gaps: joining human and artificial intelligence | Technology – Business Chief Canada

Technology is evolving at a rapid pace, transforming every business sector.

The security industry is no different, as emerging technologies are leveraged to enhance operations.

Much has been made of artificial intelligence (AI) and its potential, with companies of all kinds scrambling to implement it. Whilst the hype may presently outweigh the current benefits, AI in the security sector can be truly beneficial.

The buzz surrounding facial recognition, in particular, has dominated the public perception of AI in the security space. However, there are many applications of this tool which are already delivering benefits to businesses. Deep Learning (DL) is a subcategory of AI, which can empower surveillance technology to achieve unparalleled levels of accuracy. This, in turn, can make security professionals lives easier as they can focus on more pressing tasks, with full reassurance that DL is working in the background, improving protection and efficiency.

Deep Learning precision

In the past, surveillance applications that used video analytics to generate alerts often struggled to differentiate between a human intruder and other objects or wildlife, creating time-consuming false alarms.

However, DL can help overcome this hurdle by enabling users to pre-calibrate the system to detect real threats and ignore false ones. In the context of video analytics, the learning aspect of DL refers to the way that a developer can train an algorithm to only pick up on specific objects and features, much in the same way that a human would visually disseminate a scene and distinguish between objects.

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In a security application, the algorithm can be trained to recognise a person or a vehicle that could pose a threat. This level of sophistication in security tools means that the issue of false alerts is mitigated, and monitoring staff can focus their efforts on less tedious tasks, increasing their productivity and attention span, improving overall performance.

Ultimately, improved alert accuracy leads to a more secure perimeter. By detecting suspicious events in real-time, the technology enables staff to address incidents as they occur, reducing the need to analyse video footage in the wake of a security breach, when very little can be done.

Combining human and artificial intelligence

Its true that AI and automation stand to revolutionise every sector. However, this is not to say that they are always a viable replacement for human intelligence.

AI and DL really excel in the automation of manual tasks and making improvements to operations, but the value of human input cannot be underestimated.

The DL component of security analytics is invaluable for overworked and understaffed monitoring teams it can filter through hundreds of potential alerts and block those that arent useful. Staff are then left with only a handful of unusual situations to evaluate, which they are responsible for resolving. This is where human intelligence is still light years ahead of AI. The most successful businesses across the board are the ones who are able to combine the latest technologies with human intuition.

By Kevin Waterhouse, Managing Director at VCA Technology

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Bridging the gaps: joining human and artificial intelligence | Technology - Business Chief Canada

DIAGNOS Will Utilize its Artificial Intelligence Medical Platform FLAIRE in Response to the US White House – Call to Action to Analyse and Transform…

Brossard, Quebec, March 25, 2020 (GLOBE NEWSWIRE) -- DIAGNOS Inc. (DIAGNOS or the Corporation) (TSX Venture: ADK) (OTCQB: DGNOF), a leader in early detection of critical health issues through the use of Artificial Intelligence (AI), announces that it is participating in the Call to Action initiative implemented by the White House Office of Science and Technology Policy. DIAGNOS has accessed a significant dataset with the objective of analysing these medical documents with its AI Medical Platform, called FLAIRE, in order to identify key factors that could assist in the battle against the Coronavirus.

In response to the COVID-19 pandemic, the White House and a coalition of leading research groups have prepared the COVID-19 Open Research Dataset (CORD-19). CORD-19 is a resource of over 44,000 scholarly articles, including over 29,000 with full text, about COVID-19, SARS-CoV-2, and related coronaviruses. This dataset is provided to the global research community to apply recent advances in natural language processing and other AI techniques to generate new insights in support of the ongoing fight against this infectious disease. There is a growing urgency for these approaches because of the rapid acceleration in new coronavirus literature, making it difficult for the medical research community to keep up.

Call to Action (from the White House)

The White House is issuing a call to action to the world's artificial intelligence experts to develop text and data mining tools that can help the medical community develop answers to high priority scientific questions. The CORD-19 dataset represents the most extensive machine-readable coronavirus literature collection available for data mining to date. This allows the worldwide AI research community the opportunity to apply text and data mining approaches to find answers to questions within, and connect insights across, this content in support of the ongoing COVID-19 response efforts worldwide.

Mr. Andr Larente, CEO of Diagnos stated: Diagnos AI platform has been built to address the complexity of multiple sources of data that includes text mining, data mining and medical imaging. The proprietary technology has been developed over a number of years in order to identify medical challenges, for example cardio vascular issues have resulted in new tests to address hypertensive patient complications and to predict a potential stroke. The intention of FLAIRE in response to the White House Call to Action is to assist in resolving some of the issues caused by the virus by analyzing the dataset made available by the US authorities.

The Standing Committee on Emerging Infectious Disease and 21st Century Health Threats of the US and the WHO identified 10 scientific questions that are vital to address this international crisis. These questions include studying the transmission and incubation of the virus, risk factors for getting the COVID-19, the origin of the virus, and the proper medical practice for treating this disease.

Mr. Francis Bellido, PhD in Medical Microbiology and board member at Diagnos added: One outcome that is particularly remarkable in the COVID-19 crisis is that the majority of the deceased victims had one or several pre-condition(s) before the infection struck such as hypertension, diabetes, obesity or other Cardio Vascular issues, which are the sweet spots for the Diagnos diagnostic assisted platform. We believe that this virus could further alter the cartography of the retina in such patients, and if confirmed, creating the possibility of an additional facet to our existing detection tool for our existing patients.

Dr. Hadi Chakor, Chief Medical Officer at Diagnos added: One of the treatments for COVID-19 is the use of chloroquine or hydroxychloroquine. The recommendations of the American Academy of Ophthalmology on the screening of chloroquine (CQ) and hydroxychloroquine (HCQ) are very clear after taking high doses and for a long period of use, a rigorous follow-up with patients is required. These conditions represent the most severe risks of developing morphological alterations in the retina after treatment with chloroquine. Also, previous studies demonstrate clearly that chloroquine disrupts lysosomal function in retinal neurons and RPE. Modern screening should be based on primary AI-based automatic screening tests to assess the fundus plus optical spectral coherence tomography (SD OCT) exams. These investigations should look beyond the central macula to provide objective screening and to detect subtle changes on the retinal membrane.

The Corporation is also announcing a correction to its press release dated March 9th, 2020: The number of common shares that Mr. Tristram Coffin would hold assuming the exercise of stock warrants should read 11,047,561 instead of 10,624,560.About DIAGNOS

DIAGNOS is a publicly-traded Canadian corporation with a mission of early detection of critical health issues through the use of its Artificial Intelligence (AI) platform FLAIRE. Diagnos can build application rapidly using the FLAIRE platform such as CARA (Computer Assisted Retina Analysis). CARA is an application that integrates with existing equipment (hardware and software) and processes at the point of care. CARAs Artificial Intelligence image enhancement algorithms make standard retinal images sharper, clearer and easier to read. CARA is a cost-effective tool for screening large numbers of patients in real-time and has been cleared for commercialization by several regulatory authorities such as Health Canada, the U.S. Food and Drug Administration, European Union and other countries.

Additional information is available at http://www.diagnos.com and http://www.sedar.com.

This news release contains forward-looking information. There can be no assurance that forward-looking information will prove to be accurate, as actual results and future events could differ materially from those anticipated in these statements. DIAGNOS disclaims any intention or obligation to publically update or revise any forward-looking information, whether as a result of new information, future events or otherwise. The forward-looking information contained in this news release is expressly qualified by this cautionary statement.

Neither the TSX Venture Exchange nor its Regulation Services Provider (as that term is defined in the policies of the TSX Venture Exchange) accepts responsibility for the adequacy or accuracy of this release.

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DIAGNOS Will Utilize its Artificial Intelligence Medical Platform FLAIRE in Response to the US White House - Call to Action to Analyse and Transform...

LiveMD Global Telehealth Platform launches artificial intelligence tracking and triaging tools to help combat COVID-19 (CoronaVirus) Pandemic -…

ATLANTA, March 25, 2020 (GLOBE NEWSWIRE) -- As many government and private institutions scramble to react to the unexpected COVID-19 pandemic, one telehealth company has been prepared for years to respond to this kind of crisis. LiveMD, a leading provider of global telehealth services, has a reliable, established, full-featured telehealth platform that allows anyone to use their phone to check their symptoms, track and self-report viruses such as COVID-19, and talk to a doctor. Plus it offers a verifiable track record of successful service delivery to patients in more than 42 countries worldwide. The company leverages the expertise of doctors in 53 distinct specialties, who are based in 30 different countries.

LiveMD offers an innovative app that can be downloaded directly from the Google Play store at http://bitly.com/livemdapp. With the LiveMD app, anyone can track the COVID-19 corona virus in their local area, regardless of where they live. They can self-report their corona virus status for tracking and covid-19 testing triaging, and connect with local government and medical agencies (such as test labs) for help and guidance. Their personal health information is kept private and secured.

As explained by LiveMD Founder and CEO Emeka Okwara, LiveMD is a global telehealth platform intended to serve anyone on this planet who has a phone. You can think of LiveMD as a global digital hospital on your phone. Anytime and anywhere, virtually anyone can be quickly and safely connected to a certified physician for a live consultation. Anyone can schedule an appointment to talk to a doctor by phone, video, text, or in person. This is our core mission and what we do best.

LiveMD also offers an innovative app that can be securely downloaded directly from the Google Play store. Use the app to talk to a certified doctor in the LiveMD global health network by phone, video, or text from anywhere. With the app, the patient literally has a self-diagnosis tool powered by advanced artificial intelligence capability, in the palm of their hand. After they use the LiveMD app to perform a self-diagnosis, the app then identifies doctors who are available for a consultation and who specialize in that patients specific medical ailment. In the near future, LiveMD will also identify which pharmaceuticals are designed and routinely prescribed to treat that condition.

LiveMD has always advocated for the idea that health care is global and not just local, and must be treated as such. We have led the industry, says Okwara, using our technology with that mindset. This allows us to provide a platform that addresses some of the global health challenges we are experiencing today, and prevent future pandemics.

Organizations such as health insurance companies, business owners and employers, and NGOs can use LiveMD to serve employees and customers. That ensures that those who get the app will receive vital access to the help they need, supported by a global network of doctors.

Okwara adds that, "LiveMD plans to work with governments and provide them with the tools to get real-time COVID-19 updates from their citizens, help triage individuals for covid-19 testing, and help provide citizens the help they desperately need. Our objective is to help governments quickly and efficiently reduce the spread of the virus and save lives. Government institutions can reach LiveMD at gov@mylivemd.com to quickly get onboard the LiveMD Global Health Platform. It takes less than an hour to get onboarded. Because of LiveMDs depth of experience and technological sophistication, the platform can swiftly and strategically respond to individual, local, regional, and global health concerns.

About LiveMD

LiveMD is a Telehealth platform used to increase access to quality healthcare services around the world using its artificial intelligence, big data and telecommunication technologies. Patients across 43 countries use LiveMD to talk to certified doctors by phone, video, and text. They also use LiveMDs artificial intelligence tools for self-diagnosis, virus tracking andmedical testing triaging.You can find more information about LiveMD at http://www.mylivemd.com and you can download the app at http://bitly.com/livemdapp.

LiveMD Media Contact:Emeka Okwarapress@mylivemd.com

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LiveMD Global Telehealth Platform launches artificial intelligence tracking and triaging tools to help combat COVID-19 (CoronaVirus) Pandemic -...

New Research from Newark Reveals Strong Adoption of Artificial Intelligence within the Internet of Things Ecosystem – Embedded Computing Design

Newark published new research on the Internet of Things (IoT) which confirms strong adoption of Artificial Intelligence (AI) within IoT devices. The companys research showed that 49% of respondents already use AI in their IoT applications, with Machine Learning (ML) the most used technology (28%), followed by cloud-based AI (19%).

In opposition, there were still 51% of respondents that have not adopted or implemented AI technology into IoT applications.

The research survey, which is Newarks second-such report, highlighted security as being the biggest concern for those implementing IoT.

Other statistics that came from the survey are listed:

(All statistics have come directly from Newark)

The survey ran from Sept. Dec. 2019, compiling responses from 2,015 participants. Those who participated came from 67 countries in Europe, North America, and Asia. 59% of respondents were engineers who were working on IoT solutions.

For more information, visit Newark.com

Perry Cohen, associate editor for Embedded Computing Design, is responsible for web content editing and creation in addition to podcast production. He also assists with the publications social media efforts which include strategic posting, follower engagement, and social media analysis. Before joining the ECD editorial team, Perry has been published on both local and national news platforms including KTAR.com (Phoenix), ArizonaSports.com (Phoenix), AZFamily.com, Cronkite News, and MLB/MiLB among others. Perry received a BA in Journalism from the Walter Cronkite School of Journalism and Mass Communications at Arizona State university.He can be reached by email at perry.cohen@opensysmedia.comFollow Perrys work and ECD content on his twitter account @pcohen21

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New Research from Newark Reveals Strong Adoption of Artificial Intelligence within the Internet of Things Ecosystem - Embedded Computing Design

AI vs COVID-19: Here are the AI tools and services fighting coronavirus – AI News

AI tools and services are being used or offered by companies around the world to help fight the coronavirus pandemic.

In a best-case scenario, whereby the virus transmission is massively mitigated, researchers from Imperial College London predict there would still be in the order of 250,000 deaths in GB, and 1.11.2 million in the US resulting from the coronavirus.

Imperial College Londons analysis landed in Washington over the weekend and its said to be the reason behind the US stepping up its response. British PM Johnson warned that further measures in the UK will likely be introduced in the coming days and a coronavirus bill for emergency powers is making its way to the House of Commons.

Much like in wartime, technologies and social experiments that under normal circumstances would take years or decades to be tested and implemented will be rushed into use in days or weeks.

Chinas Tianhe-1 supercomputer is offering doctors around the world free access to an AI diagnosis tool for identifying coronavirus patients based on a chest scan. The supercomputer can sift through hundreds of images generated by computed tomography (CT) and can give a diagnosis in about 10 seconds.

Alibaba Cloud has launched a series of AI technologies including the International Medical Expert Communication Platform on Alibaba Groups enterprise chat and collaboration app, DingTalk. The platform allows verified medical personnel around the world to share their experiences through online messaging and video conferencing.

Another solution from Alibaba estimates the trajectory of a coronavirus outbreak in a specific region using a machine learning algorithm based on public data gathered from 31 provinces in China. Within China, it has a 98 percent accuracy rate.

For researchers and institutions working hard towards a vaccine, Alibaba has opened its AI-powered computational platform to accelerate data transfer and computation time in areas such as virtual drug screening.

Several of the other leading cloud players in China including Baidu and Tencent have opened up specific parts of their solutions for free to qualifying medical personnel. In the US, Microsoft and Google have also done the same.

Last month, scientists from South Korea-based firm Deargen published a paper with the results from a deep learning-based model called MT-DTI which predicted that, of available FDA-approved antiviral medication, the HIV drug atazanavir is the most likely to bind and block a prominent protein on the outside of the virus which causes COVID-19. In early trials, coronavirus sufferers are reportedly improving significantly using HIV drugs.

Hong Kong-based Insilico Medicine also published a paper in February which, instead of seeking to repurpose available drugs, detailed the use of a drug discovery platform which generated tens of thousands of novel molecules with the potential to bind a specific SARS-CoV-2 protein and block the viruss ability to replicate. A deep learning filtering system helped Insilico narrow down the list and the company has synthesised two of the seven molecules and plans to test them in the next two weeks with a pharmaceutical partner.

British AI startup Benevolent AI has also been active in seeking to identify approved drugs that might block the viral replication of COVID-19. The companys AI system examined a large repository of medical information to identify six compounds that effectively block a cellular pathway that appears to allow the virus into cells to make more virus particles. Baricitinib, used for treating rheumatoid arthritis, looks to be the most effective against the virus.

For its part, the White House has urged AI experts to analyse a dataset of 29,000 scholarly articles about coronavirus and use them to develop text and data-mining techniques to help scientists answer the following key questions about COVID-19:

The entire COVID-19 Open Research Dataset (CORD-19) has been made available on SemanticScholar and will be updated whenever new research is published.

While the outlook around the world is currently grim, some of these AI-powered tools and developments offer a glimmer of hope we may be to reduce the viruss spread, improve treatment for patients, and ultimately conquer the coronavirus sooner than otherwise would have been possible.

Interested in hearing industry leaders discuss subjects like this? Attend the co-located 5G Expo, IoT Tech Expo, Blockchain Expo, AI & Big Data Expo, and Cyber Security & Cloud Expo World Series with upcoming events in Silicon Valley, London, and Amsterdam.

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AI vs COVID-19: Here are the AI tools and services fighting coronavirus - AI News

Stanford virtual conference to focus on COVID19 and artificial intelligence | Stanford News – Stanford University News

Russ Altman (Image credit: Courtesy Russ Altman)

The impact of COVID-19 on society and the way artificial intelligence can be leveraged to increase understanding of the virus and its spread will be the focus of an April 1 virtual conference sponsored by the Stanford Institute for Human-Centered Artificial Intelligence (HAI).

COVID-19 and AI: A Virtual Conference, which is open to the public, will convene experts from Stanford and beyond. It will be livestreamed to engage the broad research community, government and international organizations, and civil society.

Russ Altman, one of the conference chairs, is an associate director of HAI and the Kenneth Fong Professor and professor of bioengineering, of genetics, of medicine, of biomedical data science, and, by courtesy, of computer science. He is also the host of the Sirius radio show The Future of Everything. He discusses the aims of the conference.

What was the idea behind the conference?

At HAI, we felt this was an opportunity to use our unique focus on AI and humanity to serve the public in a time of crisis. The issues involved in the pandemic are both nuanced and complex. Approaching it from multiple fields of expertise will help speed us toward solutions. The goal is to make leading-edge and interdisciplinary research available, bringing together our network of experts from across different schools and departments.

We have a world-class set of doctors and biological scientists at Stanford Medical School and theyll, of course, be involved. Well also have experts on AI, as well as the social sciences and humanities, to give their scholarly perspective on the implications of this virus, now and over time. The conference will be entirely virtual with every speaker participating remotely, providing an unpolished but authentic window into the minds of thinkers we respect.

What useful information will come out of the conference?

Were asking our speakers to begin their presentation by talking about the problem theyre addressing and why it matters. They will present the methods theyre using, whether scientific or sociological or humanistic, the results theyre seeing even if their work is preliminary and the caveats to their conclusions. Then theyll go into deeper detail that will be very interesting to academic researchers and colleagues. Importantly, we intend to have a summary of key takeaways afterward along with links to information where people can learn more.

We will not give medical advice or information about how to ensure personal safety. The CDC and other public health agencies are mobilized to do that.

What do you think AI has to offer in the fight over viruses like COVID-19?

AI is extremely good at finding patterns across multiple data types. For example, were now able to analyze patterns of human response to the pressures of the pandemic as measured through sentiments on social media, and even patterns in geospatial data to see where social distancing may and may not be working. And, of course, we are using AI to look for patterns in the genome of the virus and its biology to see where we can attack it.

This interdisciplinary conference will show how the availability of molecular, cellular and genomic data, patient and hospital data, population data all of that can be harnessed for insight. Weve always examined these data sources through more traditional methods. But now for the first time, and at a critical time of global crisis, we have the ability to use AI to look deeper into data and see patterns that were otherwise not visible previously, including the social and cultural impact of this pandemic. This is what will enable us to work together as a scholarly, scientific community to help the future of humankind.

Who do you hope will attend?

The core audience is scholars and researchers. We want to have a meaningful discussion about the research challenges and opportunities in the battle against this virus. Having said that, we know that there are many people with an interest in how scientists, researchers, sociologists and humanists are helping in this time of crisis. So were making the conference open to anyone interested in attending. It will be a live video stream from a link on our website, and available as a recording afterward.

What kind of policy effect do you hope the conference can have?

Good policy is always informed by good research. A major goal of HAI is to catalyze high-quality research that we hope will be heeded by policymakers as they work to craft responses to COVID-19 and future pandemic threats. So this will give insights to policymakers on what will be published in the coming months.

Register for the April 1 conference.

Learn more about the Stanford Institute for Human-Centered AI (HAI).

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Stanford virtual conference to focus on COVID19 and artificial intelligence | Stanford News - Stanford University News

Artificial Intelligence in the energy sector: opportunities and challenges – WhaTech

Its an article on the various opportunities and challenges for A.I. to dominate the energy sector

What lies in the store for AI in energy sector: Its potential applications and shortcomings

Artificial Intelligence, Deep Learning and Machine Learning- whatever you are doing, if you dont understand it Learn it. Because you are otherwise going to be a dinosaur in 3 years.

These words by American entrepreneur Marc Cuban can be a bit over-the-top but it puts a strong emphasis on how these modern technologies are gonna dominate almost every industry in the coming years. So today, we are gonna talk about one of these technologies- Artificial Intelligence (AI.) in detail and about its growing importance in specifically, the Energy Sector.

So, lets begin our article with some insights on AI.

Artificial Intelligence: An Introduction

AI is certainly the talk about the hour nowadays. In high-tech industry, AI is the one with most potential. But before proceeding and discussing further on this exciting technology, wed like to first understand what AI means-:

Artificial Intelligence may be defined as a technology which incorporates human intelligence in machines. It provides machines or computer programs the potential of thinking or performing certain tasks which otherwise, wouldnt be possible without human intelligence.

These tasks may include the likes of visual perception or speech recognition for instance.

Artificial intelligence (AI) makes it possible for machines to accomplish specific tasks by processing large amounts of information in form of data and recognizing patterns within the data. Today AI has taken a crucial place in many sectors and with increasing digitisation and increased flow of information everyday, the longer term for AI looks promising.

From retail to banking, from healthcare to manufacturing, AI is resulting in increased efficiency and security by enhancing the speed, precision and effectiveness of human efforts.

AI IN ENERGY SECTOR: AN OVERVIEW

With Artificial Intelligence expanding itself every day, energy sector has also not been left untouched by it.AI and energy sector are a perfect matchto each other. AI thrives on data and the energy resources are flooded with huge chunk of data coming from power grids, wind-farm operations and even oil-companies. AI coupled with other technologies like cloud computing canprocess, stream, analyse and interpret this dataprecisely and with unimaginable speeds to make the energy sector more efficient and secure.

So, lets begin our discussion on what future lies for AI in this ever- changing energy sector and what challenges and opportunities lie ahead to it:

Opportunities for AI in Energy Sector-:

The numerous opportunities for AI can be narrowed down to these five points-

AI in power grids : Smart grids

With time, power grids are becoming more and more decentralized and digital. It is leading to more number of grid participants and hence, more difficult to manage it and keep the grid in balance. This requires evaluating and analyzing a huge chunk of data. AI can help us with quick and efficient processing for this flood of data!

As power is being generated from more volatile sources like solar and wind, the requirement is that power generation must react intelligently to consumption (and vice versa). With AI, we canevaluate, analyse and control participants connected to each othervia these smart grids.

Intelligent Energy Storage(IES)

With modern day emphasis on climate changes and increasing pressure to reduce CO2 emissions, we must find ways to have most of our power generated from renewable resources. The problem with renewable sources of energy are that they areunpredictable, which makes production of energy periodical and sometimes even chaotic. With renewable sources, there can be power outages or too much power generation which needs to be controlled.

Smart storage, also known asIntelligent Energy Storage(IES)can effectively handle these disrupt changes in power supply. If we combine renewable energy with AI-powered storage ,we can greatlyimprove energy storage management, increase business value and minimize power losses.

AI in power trading: AI forecasting

Use of AI in power trading can help improve forecasting. Improving their predictive analysis methods by the use of AI can serve many goals for energy companies:Cost Cutting, Power Saving, Being ready for changing conditionsand also improving their existing customer service. With the help of machine learning and deep learning, its possible to bring forecasting to the next level in the energy industry .The cost of error in energy industry is very high, which means thatprecision of highest levelis required.

Ex- Worlds largest electricity producer company GE Power is working on incorporating AI in its energy supply change to enhance precision and efficiency.

Resource Management

Suppliers can use AI topredict for demandin advance orcheck for problemsto save resources wherever possible. They can therefore haveoptimal utilizationof their resources, hence increasing efficiency.

AI can also enable users to save electricity and reduce their monthly bills. With AI enabled system, the networked devices canreduce power billsby reacting to prices on electricity market.

Preventing disaster

AI can be used topredict system overload or potential transformer breakdowns, thus giving an added layer of security to any disaster sort of mis-happening. Analyzing the available data and coupled with technologies like deep learning, AI can predict corrosion, cracks etc. which pose a threat to the system and can be a cause of future disasters.

Challenges for AI in the energy sector

By learning about so many potential applications of AI. in the energy sector, you would guess that its gonna be a pretty easy path for it in this industry. But turns out, that the path isnt really without its obstacles. So, lets take a look at the major challenges which has to be cleared before AI takes a giant domination in this industry-:

Let us read about each challenge one-by-one:

Lack of expertise and finances

For a shift to AI enabled energy sector, we require a large number of employees withsufficient technical expertiseon AI who could be able to lead this transition, but thats not present. Moreover, theconservative approachof some organisations andhuge risksassociated with data compels many companies to not join this AI revolution.

Moreover, this implementation of technology in the energy sector would requiredeveloping, adjusting and monitoringsoftware which requireslot of resources and finances.

Data Privacy and Security

Data privacy is one of the biggest issues of this century and AI literally thrives on data, so it is natural for data security to be a challenge for AI in the energy sector. Energy supply and entire energy system are prone tocyber-attacks and data theft. Being integral part of a countrys infrastructure,cybersecurity needs to be insuredbefore completely handling over our data to the technology.

Data Consumption by AI itself

Data centers the huge server farms around the world storing users data, now consume 3% of global energy.Processing a lot of data requires large amount of electricity- making it a requirement to have a check on data consumption of AI itself. To make the energy sector artificially intelligent, its integral to ensure that thesedata centres are themselves, energy efficient.

CONCLUSION

Its a no-brainer that the future lies in AI and furthermore, the capability of AI to revolutionize the energy sector must also not be doubted. AI can increase the efficiency, speed and security of energy consumption and generation and could lead the constant transitions in this sector to meet the changing climate needs. But it also goes without saying that even this intelligent technology has its own shortcomings which needs to be taken care of before we can embrace it with open hands.

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Artificial Intelligence in the energy sector: opportunities and challenges - WhaTech

31 Companies, Products and People making Artificial Intelligence a Reality in 2020 – PR Web

Artificial Intelligence Excellence Awards logo

PHILADELPHIA (PRWEB) March 25, 2020

The Business Intelligence Group today announced the winners of its Artificial Intelligence Excellence Awards program. This business awards program sets out to recognize those organizations, products and people who bring Artificial Intelligence (AI) to life and apply it to solve real problems. Nominations were received and winners were chosen in all four of the categories of AI including Reactive Machines, Limited Memory, Theory of Mind, and Self-Awareness.

The role of Artificial Intelligence is transforming nearly every aspect of our lives and culture, said Maria Jimenez, chief nominations officer for Business Intelligence Group. Companies are quickly becoming reliant on AI as they build new tools, launch new services or deploy the AI of strategic vendors. We are so proud that such an incredible group of companies won this years program. Congratulations to all of them.

The 2020 Artificial Intelligence Excellence Awards winners are:

Limited MemoryWelltokOrganization - Medium-sized Company

zenloop GmbHOrganization - Small Company

AppFolios AI Leasing Assistant, Lisa Product or Service - Large Company

KneronProduct or Service - Medium-sized Company

VeritoneProduct or Service - Medium-sized Company

Awake Security PlatformProduct or Service - Small Company

ContactEngineProduct or Service - Small Company

Reactive MachinesImran Shah & Fadhel A. Ghuwainem of Saudi AramcoIndividual - Large Company

TripActionsOrganization - Medium-sized Company

BrainBox AIOrganization - Small Company

WekaIOProduct or Service - Medium-sized Company

Nucleon Cyber IntelligenceProduct or Service - Small Company

Theory of MindDr. Marios Savvides, Chief AI Scientist, Bossa Nova RoboticsIndividual - Medium-sized Company

Johnson ControlsOrganization - Large Company

PersadoOrganization - Medium-sized Company

CherreOrganization - Small Company

Marvis ActionsProduct or Service - Large Company

CleverTapProduct or Service - Medium-sized Company

Perfect Corp.'s YouCam AI SkinTechProduct or Service - Medium-sized Company

John Snow LabsProduct or Service - Small Company

Open CategoryMohan Giridharadas, LeanTaaSIndividual - Medium-sized Company

Teachers Insurance and Annuities Association (TIAA) Automated AssistantOrganization - Large Company

KountOrganization - Medium-sized Company

DeepCubeOrganization - Small Company

AI Cashflow PredictionProduct or Service - Large Company

IBM Watson OpenScaleProduct or Service - Large Company

Teleperformance IndiaProduct or Service - Large Company

AarkiProduct or Service - Medium-sized Company

BirdEyeProduct or Service - Medium-sized Company

RemeshProduct or Service - Small Company

Vigilent Dynamic Cooling Management SystemProduct or Service - Small Company

The program also recognized several companies as finalists including Acuant Trusted Identity Platform, Bluecore, Brightfield, Cognizant Inventory Optimization Backorder Prediction and Safety Stock Prescription, dCube by DataVisor, enaible, Marlabs Inc, OpenText Magellan, SDL Linguistic AI and ThetaRay Financial Crime Platform

About Business Intelligence Group http://www.bintelligence.comThe Business Intelligence Group was founded with the mission of recognizing true talent and superior performance in the business world. Unlike other industry award programs, these programs are judged by business executives having experience and knowledge. The organizations proprietary and unique scoring system selectively measures performance across multiple business domains and then rewards those companies whose achievements stand above those of their peers.

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KT zu Guttenberg, Artificial Intelligence and You – theTrumpet.com

Many, many prophecies in your Bible describe the world after Jesus Christ returns as being a world filled with happiness!

Did you know that God actually commands us to be happy? And He gives a formula for making you happy in His Bible, which is for the whole world.

God is full of joy! And He is creating us to be like He is, so He wants us to be filled with joy, too. Only those people who have that joy will be in His Family in the future.

But look around, and you see todays world filled with unhappiness and other strong, negative feelings.

Revelation 12:9 says this whole world is deceived. One of the greatest deceptions of all is about how to be happy.

Why are people so deceived about this subject? And how can you be happy?

Let me explain the answer to both of those questions. It is deeply misunderstood, and strongly resisted. I present The Key of David, a weekly television program that reaches millions of potential viewers and is available online, and I have noticed that whenever I cover this subject, we get less response than normal.

Id like to challenge you to think about this subject, to read and study the additional literature we offer on it. We give away all our literature freely because God commands us to do so in Matthew 10:8: Freely you have received, freely give. We have done this for over 80 years. We give over a million dollars worth of free literature every year, yet we always have the income we need to do the Work. God commands us to do certain things in the Bible, and He rewards us immensely for obeying Him.

In John 13, Jesus Christ instructs the disciples about the Passover, which begins the holy day plan of God. For I have given you an example that ye should do as I have done to you (verse 15). You must do things the way Christ does. That includes the holy days, which He kept and He commands us to keep. (Request our free booklet Pagan Holidaysor Gods Holy DaysWhich? to learn about how Gods holy days reveal Gods master plan for human beings. This is truth we need!)

Then notice verse 17: If ye know these things, happy are ye if ye do them. Christ said that following His example and obeying Him will make you happy.

God puts everything on the line. If doing these things doesnt make you happy, then that would make God a liar. But He doesnt lieHe cannot lie! (Titus 1:2).

Here is another scripture that describes how happy we can be: But unto you that fear my name shall the Sun of righteousness arise with healing in his wings; and ye shall go forth, and grow up as calves of the stall (Malachi 4:2). Here is a picture of a young calf in the stall that has been born recently and is jumping around because its so thrilled to be alive! And this tells you how to have such abundant lifehow to be happy, and bright and shining like the sun! It starts with fearing God.

Notice verse 4: Remember ye the law of Moses my servant, which I commanded unto him in Horeb for all Israel, with the statutes and judgments. The main law Moses received on Mount Horeb (another name for Mount Sinai), was the Ten Commandments (Exodus 20). And the statutes we are here commanded to remember include the holy days.

The first five books of the Bible are referred to in Scripture as the Law (e.g. Luke 24:44). Those five books are the foundation of the entire Bibleand the Ten Commandments are the center of that foundation. Remember that law! Dont forget it, because keeping it will make you happy!

The book of Malachi shows that most of Gods own people in this end time95 percenthave turned away from that law (e.g. Malachi 2:8-9; 3:7, 14). And here at the end of the book God is saying, Remember this! Remember that law of Moses that he received on Mount Sinai with thunder and lightning, with the mountain and the earth shaking!

In the days of the second temple construction, the Jews who had returned to Jerusalem from captivity had renewed appreciation for the law of God. Nehemiah 8 records them gathering to observe the Feast of Trumpets, and then the Feast of Tabernacles, two of Gods seven annual festivals.

When they gathered, Ezra and the spiritual leaders read the Law to the people. So they read in the book in the law of God distinctly, and gave the sense, and caused them to understand the reading (verse 8). They really made it plain. And how did the people respond? [A]ll the people wept, when they heard the words of the law (verse 9). They were convicted and repentant. That may seem like the opposite of happinessbut in reality, it is the only true path to real happiness!

Nehemiah saw their response. Then he said unto them, Go your way, eat the fat, and drink the sweet, and send portions unto them for whom nothing is prepared: for this day is holy unto our Lord [referring to the Feast of Tabernacles]: neither be ye sorry; for the joy of the Lord is your strength (verse 10). If you are keeping those holy days, God says it will fill you with joy, and that is your strength! Obedience to Gods law makes you strong!

Verse 17 says that they celebrated this festival properly as they hadnt done for generations, and there was very great gladness. That is what keeping Gods law brings.

Many scriptures show that very shortly, Jesus Christ will return to Earth and apply that law, and the Earth will become a paradise, filled with happy and joyful peopleadults, children, everybody. The Almighty God will ensure that this happens!

Jesus Christ continually spoke of the importance of the law and the Old Testament as a whole. He corrected many people for not believing and obeying the law and the Old Testament prophets. The Jews boasted that they followed the law scrupulously. But Moses wrote the Bibles first five books, called the Law, and in John 5:46-47, Jesus told them, Had you believed Moses, you would have believed me, for he wrote of me. But if ye believe not his writings, how shall ye believe my words?

Jesus confirmed the veracity of the Bibles record of the Flood (Matthew 24:37-39; Luke 17:26-27). He confirmed the account of the overthrow of Sodom and Gomorrah (Matthew 10:15; Luke 17:29). He corroborated the fate of Lots wife (Luke 17:32).

After Jesus was crucified and resurrected, He spent some time with His disciples, teaching them. And beginning at Moses and all the prophets, he expounded unto them in all the scriptures the things concerning himself (Luke 24:27). He went through the first five books, throughout the Law, and all the prophets, including the former prophets, the major and minor prophetsand taught them just how relevant and significant it all was! Many people dismiss these sections of the Biblebut Christ certainly didnt!

I saw one commentary that drew together all these examples showing just how much Christ underscored the importance of the Old Testament. But do you know what this commentary did not say? It didnt say what Christ said about the law, the foundation of the entire Bible! This commentary said nothing of that because most of them believe the law has been done away. But what did Christ say? You would think such an important subject would have been mentioned above some of those other miraculous events.

Christ told His disciples, Ye are the light of the world. A city that is set on an hill cannot be hid (Matthew 5:14). Those people who are obeying Him, Christ calls the light of the world! If you are a light to the world, that means you are shining and happy! People will see it! Neither do men light a candle, and put it under a bushel . Let your light so shine before men that they may see your good works, and glorify your Father which is in heaven (verses 15-16). Wow! Let that light shine, and people will see your good works and glorify God!

Now, notice this amazing scripture that is so contrary to what nearly every commentary will tell you: Think not that I am come to destroy the law, or the prophets: I am not come to destroy, but to fulfil (verse 17). He is talking about the Ten Commandments above all. But also the first five books of the Bible and all the prophetic books. He didnt come to destroy these, but to fulfill themto fill them to the full!

For verily I say unto you, Till heaven and earth pass, one jot or one tittle shall in no wise pass from the law, till all be fulfilled (verse 18).

This is the perfect Son of God talking! He said He would cross every T and dot every I of the law in every little detail. He came to fill the law to the full perfectly! Most people in the so-called Christian world talk about the law being done away. But that is the opposite of what Jesus Christ taught!

The Ten Commandments are the foundation of the Bible and are the heart of everythingif you want to be happy. Yet the way the world views it, if youre keeping the law, you are in bondage! What a deception! And look at how unhappy, miserable and dangerous this world is as a result!

Look at how politicians and political adversaries hate each other today. Gods law says you must love your neighbor(Leviticus 19:18). Christ confirmed that this even means loving your enemies (Matthew 5:44). They often talk about how religious they are, but they have such hate in their lives! Harboring such hate means they are not doing what Christ commanded. That is what your Bible says!

God says through the Prophet Isaiah, For the leaders of this people cause them to err; and they that are led of them are destroyed (Isaiah 9:16). The leaders and scholars of Israel should be an example to the whole world, and would be, if they were obeying God. But they have rebelled against God. They are causing people to err and leading people to destruction, spiritually and even physically. Isaiah 3:12 concurs: Those leaders cause thee to err. God emphasizes this! Watch out, because people are leading you astray, causing you to make serious mistakes! Their lawless approach is making you unhappy, and they make God unhappy by what they are doing!

Christ said if you are obeying the law, you will be like the sun, shining with happiness so people can see! You wont be hating peopleyou will love them and be giving to them in any way you can.

The Apostle Paul also strongly endorsed the Old Testament. He explicitly backed up its account of Cain and Abel, of Enoch, of Melchizedek and Abraham, of the miracle of the Red Sea, of Israels rebellion by creating a golden calf, of the life of Rahab and the fall of Jericho, and many other historical incidents that most people dismiss as myth.

Paul also underscored the importance of Gods law. In Romans 10:1-3, he talks about people who have a zeal of God, but not according to knowledge. For they being ignorant of Gods righteousness, and going about to establish their own righteousness, have not submitted themselves unto the righteousness of God. How many people fall into that trap? Do you submit to Gods definition of righteousnessas He defines it in His Word and by His lawor do you try to establish your own definition of righteousness?

Verse 4 reads, For Christ is the end of the law for righteousness to every one that believeth. That does not mean that Christ ended the law, as many would have you believe. The word end comes from the Greek word telos, which means a point aimed at. When you look at Christs example, you see up close what real righteousness looks like, and what God and Christ are all about. If you keep the law the way God directs you to, and you are doing it spirituallythen in the end, you will have the very character of Christ! You will be following His example (1 Peter 2:21), you will have His mind (Philippians 2:5), and you will be keeping the law of love!

1 John 5:3 says, For this is the love of God, that we keep his commandments: and his commandments are not grievous. Gods commands are not grievous, as so many people say they are. They make you happy! And they fill you with love and many other wonderful virtues!

Paul got to the heart of peoples problem with Gods law. He wrote, Because the carnal mind is enmity [or hostile] against God: for it is not subject to the law of God, neither indeed can be (Romans 8:7). You see this natural hostility to God everywhere! And if you are honest, you can even detect it, at least to some degree, within yourself.

The only way we can obey God and keep His law is by receiving His Holy Spirit!

Paul referred repeatedly back to Adam and Eve in his epistles (e.g. Romans 5:14; 1 Corinthians 15:22; 1 Timothy 2:13-14). He spoke about the Garden of Eden and the first two human beings disobeying God and rejecting the tree of life. God kicked them out of the garden, and mankind has followed their example ever since. They rebelled against God and set the example for this world, so God condemned this world to 6,000 years of being cut off from Him.

Now we are very close to the time when Jesus Christ will return. Mankind has had his six days of the weekeach day symbolizing a thousand years (2 Peter 3:8)and the seventh, the Sabbath, is almost here. The Fourth Commandment tells us to keep the Sabbath holy each week (Exodus 20:8-11)and He even says He will bless us with delight and abundance for doing so (Isaiah 58:13-14)but most people ignore that and rebel. The Sabbath points to the fact that Christ is about to use that seventh daythat seventh thousand-year periodto fill this world with happiness and joy! Many scriptures tell us this. Do you believe them?

God tells us we must be doers of the Word (James 1:22-25). You have to do something. Verse 25 says, But whoso looketh into the perfect law of liberty, and continueth therein, he being not a forgetful hearer, but a doer of the work [or this law], this man shall be blessed in his deed.

Do you see Gods law as a law of liberty? If you keep it, you will have freedom. Youll be blessed in special ways by God, and one of those blessings is youll be happy! That is what freedom brings. How can you be happy without freedom? People in this world think they have freedom, but they are really in bondage to sin.

Where there is no vision, the people perish: but he that keepeth the law, HAPPY is he (Proverbs 29:18). Keeping the law gives you vision, and it makes you happy. It shows you how to make things work out in your life, and how to solve your problems. Keep the law, and you have vision: You know where you are going, and you know where God is taking every one of us.

Your life can be filled with happiness, joy and great purpose. That doesnt mean you wont have trials and tests, but the Bible tells us to rejoice even when you have fiery trials, because God is using those to build His very character within you! (e.g. James 1:2-4). He is preparing you for a spectacular eternal future in the very Family of God!

If you want to be happy, God shows you how: He says you must turn from your iniquities (Daniel 9:13)and turn to that law of love, that law of happiness, that law of freedom, that law of joy! Christ came so you could have life, and have it more abundantly (John 10:10). God wants you to be filled with joy, and to live the abundant life! His law shows you the way.

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KT zu Guttenberg, Artificial Intelligence and You - theTrumpet.com

BrainChip and Socionext Provide a New Low-Power Artificial Intelligence Platform for AI Edge Applications – Design and Reuse

ALISO VIEJO, Calif.-- March 23, 2020 -- BrainChip Holdings Ltd (ASX: BRN), a leading provider of ultra-low power high performance AI technology, today announced that Socionext Inc., a leader in advanced SoC solutions for video and imaging systems, will offer customers an Artificial Intelligence Platform that includes the Akida SoC, an ultra-low power high performance AI technology.

BrainChip has developed an advanced neural networking processor that brings artificial intelligence to the edge in a way that existing technologies are not capable. This innovative, event-based, neural network processor is inspired by the event-based nature of the human brain. The resulting technology is high performance, small, ultra-low power and enables a wide array of edge capabilities that include local inference and incremental learning.

Socionext has played an important role in the implementation of BrainChips Akida IC, which required the engineering teams from both companies to work in concert. BrainChips AI technology provides a complete ultra-low power AI Edge Network for vision, audio, and smart transducers without the need for a host processor or external memory. The need for AI in edge computing is growing, and Socionext and BrainChip plan to work together in expanding this business in the global market.

Complementing the Akida SoC, BrainChip will provide training and technical customer support, including network simulation on the Akida Development Environment (ADE), emulation on a Field Programmable Gate Array (FPGA) and engineering support for Akida applications.

Socionext also offers a high-efficiency, parallel multi-core processor SynQuacerTM SC2A11 as a server solution for various applications. Socionexts processor is available now and the two companies expect the Akida SoC engineering samples to be available in the third quarter of 2020.

In addition to integrating BrainChips AI technology in an SoC, system developers and OEMs may combine BrainChips proprietary Akida device and Socionexts processor to create high-speed, high-density, low-power systems to perform image and video analysis, recognition and segmentation in surveillance systems, live-streaming and other video applications.

Our neural network technology enables ultra-low power AI technology to be implemented effectively in edge applications, said Louis DiNardo, CEO of BrainChip. Edge devices have size and power consumption constraints that require a high degree of integration in IC solutions. The combination of BrainChips technology and Socionexts ASIC expertise fulfills the requirements of edge applications. We look forward to working with the Socionext in commercial engagements.

As a leading provider of ASICs worldwide, we are pleased to offer our customers advanced technologies driving new innovations, said Noriaki Kubo, Corporate Executive Vice President of Socionext Inc. The Akida family of products allows us to stay at the forefront of the burgeoning AI market. BrainChip and Socionext have successfully collaborated on the Akida IC development and together, we aim to commercialize this product family and support our increasingly diverse customer base.

About BrainChip Holdings Ltd (ASX: BRN)

BrainChip is a global technology company that has developed a revolutionary advanced neural networking processor that brings artificial intelligence to the edge in a way that existing technologies are not capable. The solution is high performance, small, ultra-low power and enables a wide array of edge capabilities that include continuous learning and inference. The company markets an innovative event-based neural network processor that is inspired by the spiking nature of the human brain and implements the network processor in an industry standard digital process. By mimicking brain processing BrainChip has pioneered an event domain neural network processor, called Akida, which is both scalable and flexible to address the requirements in edge devices. At the edge, sensor inputs are analyzed at the point of acquisition rather than transmission to the cloud or a datacenter. Akida is designed to provide a complete ultra-low power Edge AI network processor for vision, audio and smart transducer applications. The reduction in system latency provides faster response and a more power efficient system that can reduce the large carbon footprint datacenters.

About Socionext Inc.

Socionext is a global, innovative enterprise that designs, develops and delivers System-on-Chip based solutions to customers worldwide. The company is focused on technologies that drive todays leading-edge applications in consumer, automotive and industrial markets. Socionext combines world-class expertise, experience, and an extensive IP portfolio to provide exceptional solutions and ensure a better quality of experience for customers. Founded in 2015, Socionext Inc. is headquartered in Yokohama, and has offices in Japan, Asia, United States and Europe to lead its product development and sales activities. For more information, visit http://www.socionext.com.

Additional information is available at https://www.brainchipinc.com

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BrainChip and Socionext Provide a New Low-Power Artificial Intelligence Platform for AI Edge Applications - Design and Reuse

Artificial Intelligence Chipsets Market report reviews overview with demographic data and industry growth trends by 2025 – WhaTech Technology and…

The Artificial Intelligence Chipsets Market report is a collection of pragmatic information, quantitative and qualitative estimation by industry experts, the contribution from industry connoisseurs and industry accomplices across the value chain. Furthermore, the report also provides the qualitative results of diverse market factors on its geographies and segments.

Artificial Intelligence Chipsets Market Overview 2020 Forecast 2025

The latest research report on the Artificial Intelligence Chipsets market for the forecast period, 2020- 2025 is involved in screening the business environment and the companies operating in the Artificial Intelligence Chipsets industry. Importantly, the research sheds a lot of light on their winning strategies to help stakeholders, business owners, and field marketing executives stay ahead in the competition.

Besides, the industry is thoroughly weighed upon on the basis of the total revenue generated as well as the output/volume produced year after year. Other aspects including but not limited to the market drivers, key opportunities and probable restraints are thoroughly assessed during the study.

You Can Download Free Samples PDF Copy of Artificial Intelligence Chipsets Market at http://www.supplydemandmarketresearch.com/home/coMREL904121

Major Players in the Artificial Intelligence Chipsets market are: IBM Corp. (U.S.) Microsoft Corp. (U.S.) Google Inc. (U.S.) FinGenius Ltd.

(U.K.) NVIDIA Corporation (U.S.) Intel Corporation (U.S.) General Vision, Inc. (U.S.) Numenta, Inc. (U.S.) Sentient Technologies (U.S.) Inbenta Technologies, Inc.

(U.S.)

This report gives an analysis of the historical data and trends to draw a forecast of the potential growth Artificial Intelligence Chipsets exhibits a potential for growth and technological advancement primarily in its uses in rubber industries and shall experience a stable growth in the next five years. The historical analysis suggests certain trends that the industry might experience and the prospects of growth during the forecasted years.

This study also offers vital insights into the industry to provide the fields that are the most beneficial for investment and gives a competitive strategy that is most advantageous in the industry.

In market segmentation by types of Artificial Intelligence Chipsets the report covers- Deep Learning Robotics Digital Personal Assistant Querying Method Natural Language Processing Context Aware Processing

In market segmentation by applications of the Artificial Intelligence Chipsets , the report covers the following uses- Retail Transportation Automation Manufacturing Others

Some of the key findings from our Artificial Intelligence Chipsets market forecast report:

This report gives an analysis of the historical data and trends to draw a forecast of the potential growth Artificial Intelligence Chipsets exhibits a potential for growth and technological advancement primarily in its uses in rubber industries and shall experience stable growth in the next five years. The historical analysis suggests certain trends that the industry might experience and the prospects of growth during the forecasted years.

This study also offers vital insights into the industry to provide the fields that are the most beneficial for investment and gives a competitive strategy that is most advantageous in the industry.

Accesswww.supplydemandmarketresearch.com/home/coMREL904121

Unveiling the regional landscape of this market:

Owing to the regional geography of the Artificial Intelligence Chipsets market, this research segments the industry into USA, UK, Europe, Asia Pacific, Latin America and Middle East and Africa. Statistical data indicating product consumption across all these topographies have been cited in the report.

The study encompasses the value that each region contributes for collectively along with the anticipated regional market share.

The report comprises of the rate of the product consumption across all these regions alongside the consumption market share and the regional consumption rate.

Understanding the market size:

The size of the Artificial Intelligence Chipsets market is viewed in terms of the Share of Market, Total Available Market as well as Served Available Market. Not only does the study present the combined revenue for a particular market but also the market size for a specific geographic region.

Analysis of percentage or the size of the Total Available Market based on the type of product, technology, regional constraints, and others form an important part of the Artificial Intelligence Chipsets report.

Key takeaways from the Artificial Intelligence Chipsets Market Report

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Artificial Intelligence Chipsets Market report reviews overview with demographic data and industry growth trends by 2025 - WhaTech Technology and...

Richmond-based Blue Heron Capital invests in company that uses artificial intelligence to improve lung disease monitoring – Richmond.com

Richmond-based private equity fund Blue Heron Capital said Tuesday that it has invested in a company that uses artificial intelligence to help health care practitioners care for patients at risk for lung disease.

Blue Heron took part in an $11 million investment round in VIDA Diagnostics Inc., based in Coralville, Iowa.

The company uses a combination of artificial intelligence and CT imaging software to aid medical practitioners with the early detection, evaluation and treatment planning for patients who have lung disease or are at risk of lung diseases, including emphysema and airway obstructive diseases such as chronic obstructive pulmonary disease, asthma, interstitial lung disease and lung cancer.

Blue Heron participated in the investment round along with the venture capital fund First Analysis and the Iowa-based hospital network UnityPoint Health.

Founded in 2012, Blue Heron focuses its investments on companies in health care, technology and tech-enabled business service companies.

Core to our investment strategy, we will leverage our worldclass operator network to help VIDA accelerate their already impressive growth, said Tom Benedetti, a partner at Blue Heron Capital.

Blue Heron will have a VIDA board seat as part of the investment, and Blue Heron firm has named two advisers to the company: David Hunt, the CEO of Ensemble IP and former owner of Landon IP; and Dick Hamrick, a pulmonologist who served as chief medical officer at HCA Virginia Health System and HCA Capital Division.

VIDAs artificial intelligence solution applied to radiologic images improves quantitative analysis, Hamrick said. When you combine this solution with the judgment delivered by trained radiologists and specialists, overall accuracy improves and enhances the diagnosis of lung diseases. This powerful combination is better than either humans or machines can do separately.

This is the fourth investment from Blue Herons Fund II.

Previous investments included Blue Herons participation last year in a $26 million investment round in Stratasan LLC, a provider of data analytics software that helps hospitals and health systems do strategic planning and evaluate growth opportunities.

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Richmond-based Blue Heron Capital invests in company that uses artificial intelligence to improve lung disease monitoring - Richmond.com

Artificial Intelligence is Becoming the Future of Investment Platforms – EnterpriseTalk

How can AI help in investment decisions? And if there are challenges, how does your platform help to resolve those challenges?

As to why investors in general need AI, there are enormous amounts of data out there, and there is an ongoing battle over that available data. The industry as a whole now produces all kinds of data-based financial reporting and statements, and investors and industry players alike can buy really well-structured data as a result. AI has the ability to study massive amounts of this data and identify patterns.

Let us assume we identified a stock pattern today, and we want to figure out what to do next: buy or sell. AI can find somewhat similar patterns that existed in history and then analyze what happened right after. Knowing what happened after the pattern in the past may suggest what may happen in the future from today.

How Bots Are Altering the Future of Enterprise

We can identify patterns for stocks, Forex, ETFs, mutual funds, and even currencies. With that said, some patterns will not work for certain stocks; that is why people need a complete picture, including discovery, testing, and a presentation of results.

What if there is a challenge and if they are having a problem identifying the patterns? How does then AI support this kind of investor?

Challenges can also be patterns. Let us assume there is a significant drop in the market today; AI can go back through historical data and find similar significant drops in the market to come to pattern-based conclusions, such as which particular stocks continue to go down and which stocks tend to quickly bounce back. And in that regard, AI helps to solve the challenges in conjunction with human involvement, where humans can take these signals and use them for making better trading decisions.

That perspective raises the question: can AI effectively trade or manage a portfolio without any human involvement? So far, there is only one recorded example, a hedge fund claiming no human involvement. In all other cases, at this moment, humans have some kind of involvement. Today, the best minds in the finance industry are working on solutions that can help interpret challenges or anomalies in the market, including significant drops or significant jumps. Beyond AI, many companies use robots to work on these solutions, too. They look at the expense ratio and come up with the best-case scenario we are talking about the fully automated robots which can solve the challenges that arise.

Are there any security challenges in data processing of this type?

Data security challenges are the same whether AI is involved or not you have to be secure either way. With that said, you do need to protect against the black swans when something unexpected happens, and the AI can react and perform a problematic money maneuver.

Voice-based AI Assistant Certainly the Future of Workplace

Think about the verification challenges when people put driverless cars on autopilot, and the driverless car sees something unexpected. There is a chance it will crash, like Tesla demonstrated recently when the human fully relied on autopilot. When it comes to AI and investing a lot of money could be on the line.

So you see AI as a future of investment platforms? How is your platform leveraging AI differently?

Ans: Yes, absolutely. It is an enormous amount of power, and no human being can compete with the speed and volume of this power when applied to trade.

Here is the main difference with AI in our approach: to make it convenient for our users, we test a lot of strategies in advance, and that means that a typical investor gets access to a secure cloud. In our secure, local cloud, we run a lot of pre-calculations over different strategies. We run tens of thousands of different strategies simultaneously. We dont know what is going to happen with these tens of thousands of strategies, but we know that if the user on our site wants to use one of them, then it is going to be pre-calculated. That way, the person has more immediate access to our data and analysis. And that is our main feature that a person can use our AI on request.

Rebirth of Industries in the Era of Intelligent Automation

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Artificial Intelligence is Becoming the Future of Investment Platforms - EnterpriseTalk