Located in Toronto's downtown core at MaRS Discovery District, the new Samsung AI Centre will contribute to building the connected future by accelerating the adoption of intelligence on multiple devices ranging from household appliances to cars. The Toronto AI Centre is a part of a network of research Centres dedicated to research and development in the field of AI. The Centre is the second Samsung AI Centre to be established in North America, with the other in Mountain View, California. The North America AI Centres are led by senior vice president, Dr. Larry Heck, a renowned expert in machine learning for spoken and text language processing, who also co-leads the expansion of Samsung's AI Centres around the globe. "Toronto and the GTA are epi-centres of machine learning and one of the world's foremost hubs for AI research and development. Home to not only world-class talent, but also some of the most innovative start-ups in the artificial intelligence field," said Dr. Larry Heck, Co-Head of Global Artificial Intelligence Research.

Developers using the edge computing platform may be interested in a new piece of hardware created by UP based in the Netherlands called UP AI Edge. As the name suggests it adds artificial intelligence and hardware acceleration'ON' the Edge of the Internet of Things. Watch the demonstration video below to learn more about the UP hardware and its specifications. The UP AI Edge platform offers developers and users and ultra-compact form factor, combining three powerful Intel technologies together into one device providing an Intel Apollo Lake SoC, Intel Movidius Myriad 2 VPU and Intel Cyclone 10GX FPGA. "Not long ago the trend has changed from the Internet of Things to Artificial Intelligence. At UP, we didn't only stop at talking about this shift but we began to actually make it! Not forgetting the post-it sized computing platform, UP Core, we've been launching each exciting project successively. With refueled excitement, we bring you UP AI Edge. The first embedded, ultra compact, high performance, low power consumption, Artificial Intelligence platform for Edge computing."

Uber has announced plans to open a new laboratory for the development of its futuristic flying taxis. The company said it will invest £17.5 million ($23 million) over five years to build air traffic control systems, AI algorithms, charging systems and more. The propeller-powered vehicles will be small, electric aircraft that take off and land vertically (VTOL) with zero emissions and quiet enough to operate in cities. Engineers and artificial intelligence experts at the new research centre in Paris will be tasked with designing the vehicles ahead of the service's launch by 2020. Uber has announced plans to open a new laboratory for the development of its futiristic flying taxi service (artist's impression) Set to open this autumn, the Advanced Technologies Centre in Paris (ATCP) will be Uber's first R&D centre outside North America. The laboratory will work directly with prominent engineering school Ecole Polytechnique, also based in the French capital.

Uber has wildly ambitious plans to send flying taxis soaring over cities, but building them will be orders of magnitude harder than anything it has ever done. As such, the company announced that it will open a Paris lab dedicated to its Elevate program called the Advanced Technologies Center in Paris (ATCP). Uber will spend €20 million ($23.4 million) over five years to develop the AI algorithms, air traffic control and other tech necessary for the service. Uber will recruit engineers, AI specialists and computer vision researchers when the center opens this fall. "Initial projects will include: machine learning-based transport demand modeling, high-density low-altitude air traffic management simulations, integration of innovative airspace transport solutions with European aviation regulators such as EASA, and the development of smart grids to support future fleets of electric transport on the ground and in the air," Uber said in a press release.

National Bank is pleased to announce that Manuel Morales will join its team in the position of Chief Scientist, Artificial Intelligence. The main task of this accomplished researcher from the Université de Montréal will be to head the research and implementation of technological solutions in the area of artificial intelligence at National Bank in order to improve customer experience. Manuel Morales is currently an Associate Professor in the Department of Mathematics and Statistics at the Université de Montréal. He has received several awards for his applied research in machine learning, and has contributed to the publication of numerous articles in this field. Mr. Morales will devote half of his time to National Bank, while pursuing his role at the university.

National Transportation Safety Board investigators examine a driverless Uber SUV on March 20 that fatally struck a woman in Tempe, Ariz. The accident prompted Uber to suspend all road-testing of such autos in the Phoenix area, Pittsburgh, San... On the same day Uber said it's pulling the plug on autonomous vehicle tests in Arizona, Apple's on-again, off-again self-driving car initiative takes a step forward, a reminder that early-stage industries are nothing if not volatile. That may not be the case at Alphabet's Waymo, however, which looks to be on track with its robot ride-service plans. Uber's decision close its Tempe, Arizona, facility, where it tested Volvo XC90 SUVs outfitted with laser LiDAR sensors, cameras, radar and self-driving software, comes in the wake of a March crash in which one of those vehicles struck and killed a pedestrian as she crossed a dark suburban street. Governor Doug Ducey ordered Uber to stop testing indefinitely after the crash, and the National Transportation Safety Board is investigating.

Intel today announced plans to release Nervana Neural Net L-1000, code named Spring Crest, to make it easier for developers to test and deploy AI models. Intel first introduced the Neural Network Processor (NNP) family of chips last fall. Spring Crest will be 3-4 times faster than Lake Crest, its first NNP chip, said Intel VP and general manager of the AI product group Naveen Rao. The Nervana Neural Net L-1000 will be Intel's first commercial NNP chip and will be made broadly available in late 2019. The news was announced today at Intel's first-ever AI Dev Con being held at the Palace of Fine Arts in San Francisco.

London – May 23, 2018 – DataRobot, a pioneer in automated machine learning, announced today the release of a new version of the DataRobot Cloud platform for the European Union (EU). The DataRobot EU Cloud, available on the Amazon Web Services (AWS) EU (Ireland) Region, is able to support the unique needs of EU customers, whose data is tightly regulated, as well as help enterprises conform to the upcoming General Data Protection Regulation (GDPR) requirements. With growing sensitivities over data privacy and breaches, the need for organisations to keep and process customer data at the point of origin is vital. With the introduction of GDPR and its 25 May 2018 enforcement date, organisations are also required to develop a strategy to prove compliance or face hefty fines. The DataRobot EU Cloud ensures European organisations adhere to enhanced data sovereignty requirements without sacrificing any enterprise-grade capabilities.

Crashes involving drivers using Tesla's semi-automated Autopilot feature when those accidents occurred spurred two consumer groups to call on U.S. regulators to investigate company claims about the technology they call deceptive and that contribute to a misunderstanding of its limitations. In a letter sent to the Federal Trade Commission on Wednesday, the Center for Auto Safety and Consumer Watchdog said marketing of Autopilot's capabilities by Tesla and CEO Elon Musk's public comments have led customers to believe their cars are capable of driving themselves. There've been two U.S. fatalities involving Tesla drivers who had Autopilot engaged when the accidents happened, and the National Transportation Safety Board is investigating two recent crashes in which Model S drivers in Los Angeles and Utah plowed into parked fire trucks while using it. "Consumers in the market for a new Tesla see advertisements proclaiming, Full Self-Driving Hardware on All Cars." They are directed to videos of Tesla vehicles driving themselves through busy public roads, with no human operation whatsoever," the groups said in their joint letter to FTC Chairman Joseph Simons. "They see press releases alleging that Autopilot reduces the likelihood of an accident by 40%.

RapidMiner makes analytics teams more productive through an open and extensible data science platform. Organizations can build predictive models and put them into production faster than ever, using RapidMiner's lightning fast visual workflow designer and automated modeling capabilities combined with the Informatica Data Cloud. "We're thrilled to form a partnership with Informatica," said Jeff Bashaw, Vice President of Channel and Corporate Development at RapidMiner. "We have a shared vision for the generational opportunity of artificial intelligence, and through this partnership we'll be delivering new capabilities to our customers. For example, a financial services organization is using RapidMiner and Informatica to predict consumer needs, providing their lending team with prescriptive recommendations to minimize customer churn and identify cross sell opportunities."