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GE and its healthcare partners want to bring AI to patient care

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GE Healthcare and the corporate parent of two of Harvard University's teaching hospitals will spend the next ten years working on ways to bring artificial intelligence (AI) to every aspect of a hospital visit, the companies announced today. The Center for Clinical Data Science will include teams from both companies and will develop, test and deploy AI software at Massachusetts General Hospital (MGH) and Brigham and Women's Hospital, the Boston Globe reported. GE, which moved its corporate headquarters to Boston last year, is working to transform itself from an industrial company to one that develops software that powers equipment from MRI machines to jet engines, among other innovations, the article noted. AI -- sometimes called deep learning technology -- refers to computers that can sift through vast amounts of data and learn to become more accurate and efficient over time. Executives from GE, one of the nation's largest corporations, and Partners Healthcare (which owns MGH and Brigham and Women's Hospital), said integrating the technology into healthcare could help patients receive better care.


Reshaping Enterprise Data Centers: AccelStor Reveals the New-Generation All-Flash Array at Computex Taipei 2017

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AccelStor will demonstrate its recently launched all-NVMe flash array -- the NeoSapphire P310 -- and reveal its new-generation all-flash array, a scaled-up model with up to 645TB capacity. The AccelStor booth will feature live demonstrations of the NeoSapphire 3706-ES1, showing how this high-availability flash array smoothly handles all kinds of IT scenarios, without a single point of failure. Outfitted for machine learning, artificial intelligence, and FinTech, AccelStor all-flash arrays deliver accelerated performance and effortless data processing for storage, enabling enterprise business to run efficiently. AccelStor's products and technology will be on display at booth J0818 on the first floor of the Nangang Exhibition Hall in Taipei, Taiwan from May 30 to June 3, 2017. "Today's data explosion is driven by a growing number of end devices and richer data streams. Data centers and networks empower enterprises to gain deeper insight into the world around us," said David Kao, AccelStor Vice President.


Chinese online retailer developing one-ton delivery drones

Boston Herald

China's biggest online retailer, JD.com Inc., announced plans Monday to develop drone aircraft capable of carrying a ton or more for long-distance deliveries. The company said it will test the drones on a network it is developing to cover the northern Chinese province of Shaanxi. It said they will carry consumer goods to remote areas and farm produce to cities. JD.com, headquartered in Beijing, says it made its first deliveries to customers using smaller drones in November. Other e-commerce brands including Amazon.com Inc. also are experimenting with drones for delivery. "We envision a network that will be able to efficiently transport goods between cities, and even between provinces, in the future," the chief executive of JD's logistics business group, Wang Zhenhui, said in a statement.


China's biggest e-commerce retailer to fly one-ton delivery drones

The Japan Times

BEIJING โ€“ China's biggest online retailer, JD.com Inc., announced plans Monday to develop drone aircraft capable of carrying a ton or more for long-distance deliveries. The company said it will test the drones on a network it is developing to cover the northern Chinese province of Shaanxi. It said they will carry consumer goods to remote areas and farm produce to cities. JD.com, headquartered in Beijing, says it made its first deliveries to customers using smaller drones in November. Other e-commerce brands including Amazon.com Inc. also are experimenting with drones for delivery. "We envision a network that will be able to efficiently transport goods between cities, and even between provinces, in the future," the chief executive of JD's logistics business group, Wang Zhenhui, said in a statement.


Announcing @Loom_Systems to Exhibit at @CloudExpo NY #AI #DX #DevOps

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SYS-CON Events announced today that Loom Systems will exhibit at SYS-CON's 20th International Cloud Expo, which will take place on June 6-8, 2017, at the Javits Center in New York City, NY. Founded in 2015, Loom Systems delivers an advanced AI solution to predict and prevent problems in the digital business. Loom stands alone in the industry as an AI analysis platform requiring no prior math knowledge from operators, leveraging the existing staff to succeed in the digital era. With offices in San Francisco and Tel Aviv, Loom Systems works with customers across industries around the world. The widespread success of cloud computing is driving the DevOps revolution in enterprise IT.


Toyota places a ยฃ600m bet on artificial intelligence

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Mr Toyoda Toyota president announced that the car company would be launching a research company in silcon valley to develop artificial intelligence for use in cars and robotics. The Toyota research institute according to the company press release would make drive accessible to everyone regardless of inability. However the new company, which will have 200 employees and launch in 2016, will be looking to go "beyond" autonomous cars. Health, mobility and personal well being robotics to improve all aspects of human life. Toyota has previously said its first self-driving car will be out by 2020 and it has produced some robots which includes a series of nursing bots to help those with physical impairments.


UK Insurer Ageas Uses Artificial Intelligence to Manage Motor Claims

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UK insurer Ageas has begun to use artificial intelligence (AI) technology to help manage its motor claims in partnership with AI specialist Tractable. In what it describes as "a first" for the UK market, Ageas said the technology is now being used to help Ageas engineers verify the performance of its UK-wide repair networks in managing customers' motor claims. Ageas completed a successful first-stage pilot at the end of 2016, which performed analysis of several thousand vehicle images involved in accidents or requiring repair. Ageas' motor engineers were able to verify the findings of Tractable's AI technology, called AI Approval. The pilot found "that repair efficiencies in a proportion of claims could be realized, enabling cost savings and engineers to focus on more complex matters," said Eastleigh, England-based Ageas, which in 2015 was the third largest motor insurer in the UK (according to statistics from the Association of British Insurers). "The results of our initial pilot are impressive, and I'm keen to progress to using this technology at scale," said Ageas' Transformation Director Rob Smale.


'Gamified' language app Duolingo finally adds Japanese

The Japan Times

Just as many readers are swapping paperbacks for tablets, many language learners are trading in their textbooks for apps so they can study on the go. One of the most popular language applications on the market is Duolingo, a program that "gamifies" learning by rewarding players with points and new levels after they memorize vocabulary words and grammar points. The app, which has over 170 million users around the world, currently offers over 20 language courses, including Spanish, Vietnamese and Turkish. But Japanese had been notably missing until this week, when it was released on Friday by the Apple store for iOS. Duolingo's landing page for its Japanese course showed that more than 60,000 people signed up to be notified the moment that lessons were finally added. Duolingo co-founder and CEO Luis von Ahn said in a news release that Japanese was the most requested lesson in the company's five-year history.


DoorDash sees 25% lift from AI recommendations

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Food delivery company DoorDash says personalized restaurant recommendations based on AI are seeing a significant lift in orders, compared to regular recommendations based on popularity. In an interview with VentureBeat, DoorDash product manager Jimmy Liu said customers who saw personalized recommendations on average "were over 25 percent more likely" to place an order versus people who saw the most popular restaurants in their area. We talked with Liu on the eve of the company's announcement today that it's rolling out these machine-learning based recommendations to all of its users, after testing it on increasing percentages of its customer base. Millions of users have already seen the recommendations, the company said. Liu said the 25 percent lift from recommendations came specifically from email campaigns.