'After more than a year of thorough planning, development and safety reviews, we transitioned most operations to having a single vehicle operator, without a second person to collect feedback for our engineers using a laptop in the passenger seat,' the company said in the statement. 'This transition happened slowly as we worked with our vehicle operators to make sure they were well-trained and felt comfortable with this new job. Arizona governor Doug Ducey suspended Uber's self-driving vehicle testing privileges on Monday in the wake of a pedestrian fatality in a Phoenix suburb last week. Mr Ducey said in a letter to CEO Dara Khosrowshahi that video footage showed the company's'unquestionable failure'. The crash raised concerns about the San Francisco-based company's ability to safely test its technology in Arizona, he warned.

PALO ALTO, Calif., March 27, 2018 (GLOBE NEWSWIRE) -- HP today unveiled a set of industry-leading machine learning (ML) solutions, including the HP Z8, the world's most powerful workstation for ML development1. HP Z Workstations, with new NVIDIA technology, are ideal for local processing at the edge of the network - giving developers more control, better performance and added security over cloud-based solutions. The use of workstations for machine learning development is the gateway to automating workflows in areas such as facial identification, sentiment analysis, fraud detection and predictive analytics. "We're on the cusp of a new era of innovation powered by machine learning technology that enables customers to analyze, predict and problem solve in ways never thought possible. Artificial intelligence will transform workflows and empower end users to make smarter decisions, more quickly, than ever before," said Xavier Garcia, vice president and general manager, HP Z Workstations, HP Inc. "HP's latest solutions provide ground-breaking performance and scalability, offering the most powerful and comprehensive ML edge computing solution.

As Uber Technologies Inc. reels from a fatal crash involving one of its autonomous vehicles, rival Waymo is moving ahead, buying as many as 20,000 Jaguar vehicles for its robot fleet. The deal, announced Tuesday, is potentially worth more than $1 billion, and escalates Waymo's effort to put vehicles on public roads without human drivers behind the wheel. The vote of confidence comes a day after Arizona's governor suspended Uber from testing in the state following the first pedestrian death involving a self-driving vehicle. The governor's order doesn't extend to other companies including Waymo. The self-driving car unit of Google parent Alphabet Inc. GOOGL -4.47% has been testing since 2016 in the Phoenix metro area and has announced plans to begin a commercial robot taxi service there later this year.

With a top rival reeling, the self-driving car unit launched by Google has announced a massive expansion. Waymo said it would partner with Jaguar Land Rover to design an electric self-driving vehicle. Up to 20,000 of the new cars would join a driverless transportation service Waymo plans to launch later this year. "This is the self-driving car that car lovers have been looking for", Waymo CEO John Krafcik said at a press conference, adding it would offer "a safe and delightful experience for our passengers". The company has already sent self-driving cars ferrying passengers around the Phoenix, Arizona area, and last year took a significant step by deploying autonomous cars there without human backup drivers.

Google-owned Waymo announces a deal with Jaguar to buy 20,000 I-Pace Jaguars and turn them into a self-driving car fleet. NEW YORK -- Waymo, the company that grew of out of Google's self-driving car project, announced a deal to buy up to 20,000 electric cars over the next two years, a move that shows the scope of its ambition when it comes to driverless ride-hailing services. More: 401(k): What stocks, industries are vulnerable in a trade war? More: Heineken pulls'Lighter is Better' commercial after some call it'racist' The company said it planned to buy the electric version of a Jaguar SUV, the I-Pace, to create its fleet of cars. The vehicles would then be fitted with components to make them capable of piloting themselves without a driver. The company says the fleet would be capable of handling 1 million rides a day.

Over the past few years there has been dramatic rise in the use of data, analytics, and most recently, artificial intelligence (AI). With AI rapidly moving into the daily operations of a rising number of uses and enterprises, the disruption to human capital and the labor workforce of tomorrow is inevitable. What's more, this change mostly likely will be amplified by innovation and commoditization that AI brings as it enters every aspect of the modern workplace. Modern industry stands on a precipice between platforms and automation. Uber, Lyft, Gigster, Deliveroo, and the multitudes of other platforms are still heavily dependent on human labor, but all are aggressively investing in artificial intelligence to automate processes and decrease risk in business operations.

Waymo is adding a luxury vehicle to its fleet of self-driving test vehicles, the upcoming I-Pace EV. At an event ahead of the New York Auto Show, the two companies announced that testing of the I-Pace outfitted with Waymo's autonomous technology will be on public roads later this year in Phoenix, Arizona. The two companies expect the electric SUV to be part of the full Waymo fleet in 2020. In the first two years of production, up to 20,000 I-Pace vehicles will join the Alphabet Inc company's driverless service which is expected to launch later this year and will give the public the opportunity to book rides in the driverless cars. The I-Pace will be the sixth vehicle in the Waymo fleet.

Espoo, Finland - Nokia has unveiled the latest version of its Cognitive Analytics for Customer Insight software, providing powerful new capabilities so service provider business, IT and engineering organizations can consistently deliver a superior real-time and personalized customer experience. Nokia Cognitive Analytics for Customer Insight provides a holistic, real-time view of the customer experience to help service providers quickly identify issues and prioritize improvements based on their customer and business impact. It features Nokia's Customer Experience Index (CEI), which correlates information from the network, devices, customer care, billing and other sources with satisfaction surveys like the Net Promoter Score to produce a customer-specific score that tracks service performance and subscriber satisfaction. In this latest release, Nokia CEI now taps advanced machine learning and deep learning algorithms co-developed with Nokia Bell Labs to provide new levels of prediction and automation capabilities to improve the subscriber experience. The algorithms optimize themselves over time, decreasing the time required for the initial tuning of the index from months to days, and delivering a far more accurate view of subscriber satisfaction.

Stainless Code, developer of real-time advanced video and data analysis software that leverages computer vision and artificial intelligence, announced today it has been selected to join the SPROCKIT program for leading media and technology startups. Together, they form the industry's exclusive platform, bringing the most innovative products, services, and revenue models to market." As part of the program, Stainless Code will exhibit their technology along with the other companies in the 2018 class at the NABShow in Las Vegas from April 7-12, 2018 (http://nabshow.com). "After attending NAB for over the last decade, I am excited to finally join the innovative vendors and startups on the show floor as an exhibitor," said Dan Stieglitz, CEO of Stainless Code. "Our latest AI technology demonstrates the potential of AI and computer vision for change in the media and broadcast industries in the coming years.

Healthcare has undergone a transformation over the past several years, shifting from paper-based records systems to electronic records, as well as incorporating digital health monitoring devices and other advanced patient screening systems. These advances have led to an explosion of data, which can best be manipulated and analyzed by artificial intelligence (AI) technology. In healthcare, according to a new report from Tractica, AI is largely being implemented as a tool to more efficiently and accurately review data, and uncover patterns in the data that can be used to improve analyses, uncover inefficiencies, and streamline care, from both a clinical and an operational perspective. The market intelligence firm finds that the overarching driver in these AI implementations is to provide better care for patients, while reducing costs and administrative headaches and bottlenecks. Tractica forecasts that global software revenue from 21 key healthcare AI use cases will grow from $165 million in 2017 to $5.6 billion annually by 2025.