Mythic announced today that it has closed a $40 million round of investment led by SoftBank Ventures to help bring a high-speed, low-power AI chip to market. The company will use this massive infusion of cash to help launch its specialized silicon next year, roughly seven years after the company was first incubated at the Michigan Integrated Circuits Lab. Mythic's technology performs machine learning inference calculations using analog electrical signals and flash memory, which the company says allows for higher performance and a lower-power draw than more conventional techniques, like using GPUs. Mythic is targeting one of the biggest bottlenecks in machine learning computation: moving data to and from memory for processing. Because all of the neural network inference computation takes place on the same silicon that stores its weights, it's supposed to work faster.

UiPath is creating a strong ecosystem of partners to help deliver increasingly efficient enterprise RPA deployment by ensuring that a rich marketplace of leading partner technologies can offer a powerful, pre-integrated, value-added function to the already highly successful UiPath solutions in place. "Conversational Natural Language engagement is a huge growth area for both personal and business use across the globe," said Boris Krumrey, Chief Robotics Officer of UiPath. "Speech and text driven access to initiate and operate robotic process automations is a new channel of user interaction to RPA using conversation. Humley has demonstrated how a virtual assistant can be deployed to support RPA management and build Voice or Chat User Interfaces which will help customers innovate in regards to the'how and where' they access robotic process automations. What we like about Humley is that it works with other leading technologies such as IBM Watson and Microsoft Cognitive Services."

New Addition to BIAnalytix Platform Enables Real-Time Workflows That Maximize Revenue Opportunities for Cross-Media Campaign Trading DENVER -- March 20, 2018 -- Today, Decentrix introduced BIAnalytix SSP, the media industry's first cross-media-capable platform to deliver revenue maximization opportunities with modern real-time trading protocols. Built upon Artificial Intelligence for Media (AIfM), the newest addition to the company's BIAnalytix portfolio enables sophisticated cross-platform media trading at the speed of the buyer. "BIAnalytix SSP supports cross-platform and real-time trading, with realistic market pricing distilled from the data existing within a media company's order management systems and processes," said Taras Bugir, president at Decentrix. "The packaging of cross-media campaign inventory for trading represents a significant milestone in our industry. By addressing complexities that are beyond the reach of human analysis, Artificial Intelligence for Media enables media organizations -- for the first time -- to process decisions based upon current and future inventory positions across their entire delivery ecosystem."

British data analytics firm Cambridge Analytica is at the centre of controversy in the US and UK after two newspapers reported the company harvested personal data about Facebook users beginning in 2014. Best known for assisting the 2016 presidential campaign of US President Donald Trump, Cambridge Analytica is now facing a government search of its London office, questions from US state authorities, and a demand by Facebook that it submit to a forensic audit. The UK's Information Commissioner has announced she is seeking a warrant to probe the company's servers – and also that she was forced to tell Facebook to "stand down" its own enquiries after its auditors and lawyers visited Cambridge Analytica's offices. "Such a search would potentially compromise a regulatory investigation," Elizabeth Denham said. Here is some of what is known about Cambridge Analytica.

Tempe police speak at a press conference to address the accident where a self-driving Uber killed a pedestrian. In this file photo taken in 2016, pilot models of the Uber self-driving car are displayed at the Uber Advanced Technologies Center in Pittsburgh, Pennsylvania. PHOENIX -- The operator behind the wheel of a self-driving Uber vehicle that hit and killed a 49-year-old woman Sunday night had served almost four years in an Arizona prison in the early 2000s on an attempted armed robbery conviction. A representative for Uber declined to comment on the conviction and the company's hiring policies, citing an active investigation. Elaine Herzberg was walking a bike across a street outside a crosswalk in Tempe, Ariz., at about 10 p.m. when she was hit, police said.

Netradyne's advanced artificial intelligence and machine learning technologies are creating deep driver, vehicle and environmental analysis; yielding unique opportunities to create efficiencies in risk identification, data trend analysis and timely payment of insurance claims. Their robust commercial fleet platform currently captures and analyzes several million driving miles each month and Willis' expertise will allow the company to turn this insightful data into comprehensive offerings insurance companies can use to underwrite and analyze professional drivers across the country. In parallel, Willis will support customers who are actively reducing fleet risk by managing relationships with insurance carriers to provide evidence of improvement. He will also foster relationships with captive program managers to help drive fleet sales growth. "Netradyne is experiencing explosive growth, with new avenues and uses for our technology approach coming to life every day. With this comes a key focus on investing in top talent with expertise in these new industries. Adding Dale to our executive team is a crucial next step in continuing to scale the company," said Sandeep Pandya, president of Netradyne.

BOULDER, Colo.--(BUSINESS WIRE)--Artificial intelligence (AI) has worked its way into a variety of industries, from the obvious (autonomous vehicles) to the hidden (anti-money laundering due diligence). But according to a new report from Tractica, while organizations are clearly recognizing the value associated with incorporating AI into their business processes, they are also encountering a number of challenges with integrating this new intelligence into operational processes. Taking AI beyond the proof-of-concept phase to the enterprise scale will require a significant level of professional services to support large implementations, with key service categories including application integration, support and maintenance, training, customization, and installation. Tractica forecasts that the worldwide market for AI services will grow from $10.1 billion in 2017 to $188.3 billion by 2025. The market intelligence firm anticipates that the industry sectors using the highest levels of professional services to support AI deployments will include business services, consumer, healthcare, advertising, and automotive.

When Trevor McFedries set out last year to raise money for Brud, his robotics and artificial intelligence start-up, he found himself in many meetings with "a ton of white guy" venture capitalists. So Mr. McFedries, who is black, and his co-founder, Sara DeCou, a Latino woman, added a condition for investors: The pair would accept money only from venture firms that had a woman or a person of color in a position to write them a check. "It was counterintuitive for us to raise money from a bunch of white guys who want to extract all the value from the world," said Mr. McFedries, who eventually collected several million dollars from firms that met the condition. "We're interested in reshaping the way that tech looks." Mr. McFedries is one of more than 400 tech entrepreneurs and chief executives who have now banded together, in a loose coalition known as Founders for Change, to pressure the venture capital industry to diversify its ranks.

CARMEL, Ind., March 19, 2018 (GLOBE NEWSWIRE) -- TradeRev, a digital platform that facilitates live, dealer-to-dealer vehicle auctions, announced they will unveil H, the company's newest suite of artificial intelligence capabilities at next week's National Auto Dealers Association (NADA) Show 2018 in Las Vegas. TradeRev is a business unit of global remarketing and technology solutions provider KAR Auction Services, Inc. (NYSE:KAR). H leverages data and technology from across the KAR platform and uses TradeRev's machine learning and proprietary algorithms to deliver clear, easy, actionable intelligence to dealers. At NADA, TradeRev will demo H's AI-driven automated condition report visualization tool and several recently released data and predictive analytics capabilities.

Xiao'ou has used the same practical approach to computation and artificial intelligence that he displayed at MIT to build a highly successful academic and applied research career and a tremendously successful, technologically impressive startup company in SenseTime,