Skychain Global, for the first time in Russia, has successfully conducted a test of the artificial intelligence system for medical diagnostics, comparing the number of errors committed by the living doctors. This infrastructure blockchain project is aimed at helping doctors and patients have accurate diagnoses. Interestingly, this is the first ever test of its kind to be conducted in Russia. An infrastructure blockchain project, Skychain is dedicated to providing an infrastructure to radically increase the efficiency of healthcare AI development and training. There is no denying the fact that the field of medical sciences has experienced significant progress over the years.

Winjit has been catering various sectors and business verticals with its smart and innovative platforms. 'PredictSense' is no different and is ready to make an impact in the coming years. When it comes to developing machine learning platforms, it could be a real challenge as it demands an expert for it. From choosing the right algorithm to having an in-depth knowledge of tools and techniques, is a must. This challenge is addressed by'PredictSense', which allows the developer to build easy machine learning solutions even without indepth knowledge. A developer can simply feed the data set in'PredictSense' where it evaluates multiple models and deploy the top ones to get valuable insights.

Continuing its commitment to academic excellence in fundamental research in artificial intelligence (AI), Borealis AI today announced the launch of the Borealis AI Graduate Fellowship Program, which will offer financial support to domestic and international students wishing to pursue graduate-level work in the fields of machine learning or artificial intelligence at a Canadian university. "We truly believe there's no better place in the world right now than Canada to be studying AI-related fields," says Foteini Agrafioti, Chief Science Officer of RBC and Head of Borealis AI. "Between our top-tier universities, booming AI ecosystem, inclusivity and overall quality of life, Canada is a highly valued destination for students and RBC is continuing its commitment to create these opportunities." The 10 fellowships will be awarded to outstanding students in Master's and PhD-level areas of study who have already been admitted to a Canadian school. Requirements for participation include a demonstration of strong research capabilities and a sound research proposal for graduate studies. Borealis AI will commit $100,000 annually to the fellowships, which will be administered directly to the school where the winners are registered.

Earlier this week Google and Verily Life Sciences shared the latest advance in computer vision to identify signs of heart disease. With an accuracy of 70 percent, early results from the AI trained on retinal scan images from more than 200,000 patients is as precise as methods that require blood tests for cholesterol, said Google Brain product manager Lily Peng. It's the latest example of AI being used to tackle the biggest killer in the world: heart disease. It takes more lives than any other cause of death -- 800,000 in the United States alone, according to the American Heart Association. To save lives, an AI army is joining the fight.

Veritone, Inc. (NASDAQ: VERI), a leading provider of artificial intelligence (AI) insights and cognitive solutions, today announced the general availability of its Veritone Developer application. The application empowers developers of cognitive engines, applications and application programming interfaces (APIs) to bring new AI ideas to life through simple integration with the Veritone aiWARE platform. Veritone Developer is a self-service development environment that empowers developers to create, submit and deploy public and private applications and cognitive engines directly into the aiWARE architecture. After a successful limited beta release to a select group of partners, Veritone Developer is now publicly available as a unique resource for machine learning experts, application development firms, and system integrators. Veritone Developer supports RESTful and GraphQL API integrations as well as engine development in major categories of cognition, including: transcription, translation, face and object recognition, audio/video fingerprinting, optical character recognition (OCR), geolocation, transcoding, and logo recognition, among others.

Cloudera, Inc. (NYSE: CLDR), the modern platform for machine learning and analytics, optimized for the cloud, announced that Octo Telematics, a global leader in telematics for insurance companies, is introducing innovations for insurance by aggregating 186 billion miles of driving data from connected cars and using Cloudera Enterprise to predict and model driver risk. Utilizing machine learning and analytics on Cloudera Enterprise, the Octo Telematics platform can now deliver actionable insights and risk modeling to over 100 insurance companies worldwide that enables them to transform insurance including pricing, First Notice of Loss (FNOL), and claims insights. Octo Telematics' platform, built on Cloudera Enterprise, aggregates over 11 billion new data points from 5.4 million connected cars and sensors daily, creating one of the largest connected-car subscribed installed bases across the globe. Every relevant type of data--contextual data, driving data, behavioral data, and crash data--is utilized to forecast individual driving habits, improve crash notifications and response, evaluate crash dynamics, and detect fraud. "At Octo Telematics, we are using the power of IoT data analytics to transform the auto insurance industry and essentially be there for people at the moment they need help. With Cloudera, we use IoT and machine learning to drive intelligence and predict outcomes from billions of miles of driving data, and over 438,000 severe crashes from over five million cars – the largest connected-car subscribed installed base in the world," said Gianfranco Giannella, chief operating officer at Octo Telematics.

After Microsoft signed a deal to test Windows 10 on Xiaomi devices in 2015 and then Xiaomi bought a trove of patents to help run other Microsoft services on its devices in 2016, today the two companies announced another chapter in its collaboration. Xiaomi and Microsoft have signed a Strategic Framework Memorandum of Understanding (MoU) to work more closely in the areas of cloud computing, AI (including Microsoft's Cortana business) and hardware. To date, Xiaomi has largely focused its mobile phone strategy in Asia Pacific, where Gartner revealed yesterday that it (and Huawei) were the only two vendors to increase their market shares at a time of general decline. This deal could point to how Xiaomi is looking to raise its game in the West, specifically in the US, especially as it eyes up an IPO that has been reported to potentially value the company at $100 billion. On the side of Microsoft, it's particularly interesting given that the company has largely pulled back on a lot of its hardware efforts, and has visibly had some major stumbles in this area especially in mobile -- most recently with its failure to take on and grow the Nokia mobile business and Windows Mobile. Understanding that mobile isn't an area that Microsoft can quite step away from altogether, it seems that the company is going to have one more go now on with a different partner (one that is still on the rise) and a different approach.

Google subsidiary DeepMind announced today that it's working with the U.S. Department of Veterans Affairs to use machine learning in an attempt to predict when patients will deteriorate during a hospital stay. Deterioration (when a patient's condition worsens) is a significant issue, since care providers can miss warning signs for potentially lethal conditions that arise as part of other treatment. DeepMind and the VA aim to tackle Acute Kidney Injury (AKI), which, as the name implies, occurs when a person's kidneys temporarily stop working as well as they should. That can mean kidney failure, or just injury that reduces kidney function. AKI can be fatal if untreated.

DUBLIN--(BUSINESS WIRE)--The "Artificial Intelligence Chipsets Market by Technology (Machine Learning, Natural Language Processing, Context-Aware Computing, Computer Vision), Hardware (Processor, Memory, Network), End-User Industry, and Geography - Global Forecast to 2025" report has been added to ResearchAndMarkets.com's offering. This Market is Expected to Be Worth USD 7.06 Billion in 2018 and is Likely to Reach USD 59.26 Billion By 2025, at a CAGR of 35.5% from 2018 to 2025. The growth of the AI (chipsets) market can be attributed to the adoption of AI for improving consumer services and reducing hardware cost. However, the lack of skilled workforce is waning the growth of the AI (chipsets) market. The market for computer vision is expected to grow at the highest CAGR from 2018 to 2025.

Optra Health, which produces AI-driven iPhronesis analysis platform for healthcare and life sciences clients, today announced the launch of a new genetics-focused product specially designed for consumers, genetic counselors, and other genomics researchers. The OptraGURU platform combines the AI tech of iPhronesis with the language capabilities of Amazon's Alexa. Users can speak directly to OptraGURU to navigate through extensive genomic datasets or receive personalized insights. "The convergence of artificial intelligence, conversational technologies like Alexa, and an ever-increasing availability of data is having a transformative effect on how research and clinical results are delivered and communicated," Optra Health cofounder and CEO Gauri Naik said in a statement. "The possibilities of using OptraGURU and AI platforms like iPhronesis in combination with extensive public and private data sets, will advance research and improve the consumer experience."