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."

Allstate deployed Amelia as a test in September and, to date, has used the platform in more than 3 million customer conversations. With an instant message interface, Amelia leads call center employees through step-by-step procedures to help answer a variety of customer questions, including policy and policyholder information. "Amelia is quickly becoming an important component of our customer service strategy," said Allstate Senior Vice President Carla Zuniga. "She provides our call center personnel with the information and procedures they need to address our customers' questions and concerns." Amelia's machine learning capability allows her to improve her ability to answer customer questions by "listening" to interactions she doesn't understand and with Allstate experts' help quickly expanding her knowledge.

SHFAYIM, Israel (Reuters) - Technology that has helped Israel's military drive tanks, guide and intercept missiles, and keep its computer systems secure is being redeployed in the development of driverless cars. Investment from firms seeking access to Israeli expertise in automated driving, much of it gathered by engineers during their conscription, is pouring into startups. U.S. chipmaker Intel, German auto supplier Continental, Samsung, Daimler, Ford Motor Co and GM are among those to have bought startups or set up their own development centers in Israel. Inexperience in car-making, distance from traditional auto centers and competition from other tech sectors for top staff are a challenge for investors. Israeli auto tech startups still raised almost as much as similar U.S. companies last year.

Samsung Electronics Co. Ltd., the Korean-based electronics giant, will open a new artificial-intelligence center in Cambridge, England, as the company seeks to benefit from cutting-edge academic research into the technology. Andrew Blake, a pioneering researcher in the development of systems that enable computers to interpret visual data, and a former director of Microsoft Corp.'s Cambridge Research Lab, will head the new Samsung AI center, the company said Tuesday. The center may hire as many as 150 AI experts, bringing the total number of people Samsung has working on research and development in the U.K. to 400 "in the near future," the company said. U.K. Prime Minister Theresa May said Samsung's new lab would create high-paying, high-skilled jobs. "It is a vote of confidence in the U.K. as a world leader in artificial-intelligence," she said. Samsung said it selected Cambridge because the University of Cambridge is world-renowned for its work on machine-learning and because the city already had a number of other prominent AI research labs, including Microsoft's.

The report expects the global Artificial Intelligence (AI) in construction market to grow from USD 407.2 Million in 2018 to USD 1,831.0 The rising demand for AI-based solutions and platforms, the need for more safety measures at construction sites, and the capabilities of AI solutions and services to reduce the production costs are expected to drive the growth of the AI in construction market. The component segment has been further segmented into solutions and services. The solutions segment is expected to have the larger market size. AI in construction solutions play a vital role in the efficient and effective functioning of construction businesses using Natural Language Processing (NLP); and machine learning and deep learning technologies.

Artificial intelligence refers to the process of machines or computers performing tasks that would otherwise require human intelligence. In order to attain the capabilities to perform those tasks, AI relies on utilizing and processing large amounts of data, or "big data", to learn. As the accumulation of data continues to grow, so does the potential of AI systems. Some estimates hold that the emergence of AI could contribute up to $15.7 trillion to global GDP in 2030 – more than the current output of China and India combined.1 "Given AI's potential to impact a variety of sectors, we believe it is poised to become one of the most significant technological innovations of the modern era," said Alex Ashby, director of product development at Global X. "Our aim with all of our technology-thematic funds is to provide efficient access to the companies leading the charge in the world's most disruptive trends. AIQ seeks to provide investors with exposure to the long-term growth potential of the big data and artificial intelligence theme."