AI could be your next doctor. AI can now offer health advice as good as what you'd get from a human doctor, says a UK-based startup. Babylon Health said Wednesday that it gave its artificial intelligence technology the same test required of would-be general practitioners in Britain and that the AI performed better than humans. Babylon presented the AI with a sample set of questions testing diagnostic skills, a key component of the exam. The technology scored 81 percent on the exam on its first try, compared to the average score of 72 percent that human doctors have received over the last five years, the company said.

SenseTime, which specializes in software that can identify people's faces in surveillance videos, said Monday that it had secured $600 million in fresh funds and is already in talks with investors to raise more money. The second biggest AI startup is also Chinese: Shanghai-based Yitu Technology with a valuation of about $2.4 billion. Related: China's Didi said to be worth $56B after raising more cash SenseTime tapped big names for cash in its latest funding round, including China's leading e-commerce company, Alibaba (BABA). It had already announced an investment from US computer chip maker Qualcomm (QCOM) last year. The new funding will "help us widen the scope" for putting artificial intelligence to use in different industries, SenseTime CEO Li Xu said in a statement. Specifically, the company said it will pump more money into areas like security, smartphones, advertising and autonomous driving.

According to the new research report "Artificial Intelligence in Supply Chain Market by Offering, Technology, Application (Fleet Management, Supply Chain Planning, Warehouse Management, Virtual Assistant, Freight Brokerage), End-User Industry, and Geography - Global Forecast to 2025", published by MarketsandMarkets, the market is expected to grow from USD 730.6 million in 2018 to USD 10,110.2 million by 2025, at a CAGR of 45.55% between 2018 and 2025. Major drivers for the market are the growth of big data, demand for greater visibility and transparency into supply chain data and processes, and adoption of AI for improving consumer services and their satisfaction. The major restraint for the market is the limited number of the artificial intelligent technology experts. Browse 64 market data Tables and 44 Figures spread through 176 Pages and in-depth TOC on "Artificial Intelligence in Supply Chain Market - Global Forecast to 2025" The software market is expected to grow at the highest CAGR for artificial intelligence in supply chain by 2025. The adoption of AI-based software solutions is increasing as it has beginning to apply machine learning capabilities that can automatically detect errors and make course corrections while processing real-time data streams.

ADP uses real, empirical, anonymized data from more than 30 million employees to anticipate how human work behaviors will evolve, and the impact that macro trends will have on the way people want and need to work. This year's Datathon focused on unearthing new ways to use the company's data and encouraging technologists across the company to incorporate data into all practices. "Our first Datathon was about testing the speed and process by which we can leverage our world-leading HCM database, which compiles proprietary data from over 90,000 clients," said Marc Rind, chief data scientist at ADP. "This time around, we brought in partners from across ADP to explore their needs and ideate on comprehensive solutions. We gathered the industry's greatest innovators for two weeks of end-to-end development, and will ultimately be able to deliver unmatched value to our clients as a result." Three teams conceived solutions that used machine learning and artificial intelligence to bring ADP data to life for how the future of work will evolve in three key areas, and outputs included the following.

Chinese phone maker Vivo has announced its own 3D sensing technology that could rival Apple's Face ID facial recognition feature. Vivo claims that its technology will have 10 times more sensor points than Apple's solution. "Vivo's TOF 3D Sensing Technology features industry-leading performance in depth of information captured with its 300,000 sensor points, which is 10 times the number of existing Structured Light Technology. This raises the bar by enabling 3D mapping at up to three meters from the phone while having a smaller baseline than Structured Light," Vivo said in a press release. "TOF 3D Sensing Technology is also simpler and smaller in structure and allows for more flexibility when embedded in a smartphone. This will enable much broader application of this technology than was previously possible."

Certain statements in this press release constitute "forward-looking statements," within the meaning of federal securities laws, including statements related to ICP technology, including financial projections related thereto and potential market opportunity, plans and prospects and other statements containing the words "anticipate," "intend," "may," "plan," "predict," "will," "would," "could," "should," and similar expressions, constitute forward-looking statements within the meaning of The Private Securities Litigation Reform Act of 1995. The Company's actual results could differ materially from those anticipated in these forward-looking statements as a result of various factors. Factors that could cause future results to materially differ from the recent results or those projected in forward-looking statements include the known risks, uncertainties and other factors described in the Company's definitive proxy statement filed on May 29, 2018, the Company's Quarterly Report on Form 10-Q for the quarter ended March 31, 2018 and on the Annual Report on Form 10-K for the year ended December 31, 2017 as well as the Company's prior filings and from time to time in the Company's subsequent filings with the Securities and Exchange Commission. Any change in such factors, risks and uncertainties may cause the actual results, events and performance to differ materially from those referred to in such statements. All information in this press release is as of the date of the release and the Company does not undertake any duty to update this information, including any forward-looking statements, unless required by law.

The Stethee System is the world's first AI enabled stethoscope helping Medical & Veterinary Professionals around the world diagnose and manage heart and lung disease. The sound and data from the device streams to any Bluetooth enabled device or wired headphones. Aida analyzes the signal to identify heart sounds and respiratory activity, as well as any patterns that might indicate a disease condition. The data is represented in real time in the Stethee App for easy understanding of vital signs, and can be easily shared with peers, caregivers or specialists anywhere in the world.

SAN FRANCISCO, June 21, 2018 /PRNewswire-PRWeb/ -- Cerego, an AI-driven platform that optimizes how people learn, today announced the launch of Cerego Insights, as well as a Cerego skill for Amazon Alexa, onstage at the Amazon Web Services (AWS) Public Sector Summit 2018. Cerego Insights uses machine learning models to objectively understand learners' cognitive and behavioral strengths, and predict future performance. The new Cerego Insights offering goes beyond the company's core competency of knowledge acquisition and memory management. Instructors and managers can now instantly access each individual and group's cognitive and behavioral profile. These attributes include specific, validated scores for Agility, Diligence, and Knowledge.

PayPal has acquired its second startup in as many days, as the payments giant announced today that it was snapping up machine learning-powered fraud detection startup Simility. The transaction is valued at $120 million, in what will be an all-cash deal. The news comes two days after PayPal bought out payments startup Hyperwallet in a $400 million deal. Founded in 2014, Palo Alto-based Simility leverages machine learning to help those working in the fraud detection sphere collect and analyze data. The platform is designed to prevent myriad kinds of fraud, such as account takeover (ATO), where a bad actor tries to gain access to another person's online account. In such a scenario, Simility looks at various session, device, and behavioral biometrics and builds a profile for what constitutes "normal" user login behavior; if an anomaly is spotted, it can act to prevent the action.

One Drop, a leader in the development of digital therapeutics solutions for people with diabetes, today announced the launch of Blood Glucose Prediction and Automated Decision Support. Through these new features, the One Drop Mobile app will provide users: (1) blood glucose "forecasts" up to 12 hours into the future; and (2) behavioral recommendations based on those forecasts, thereby empowering users to manage diabetes proactively and reduce the risk complications. Through One Drop's predictive analytic capabilities, people with diabetes will now be able to receive actionable insights into how their behavior (diet, physical activity, etc.) affects their blood glucose levels, without any intervention from a health care provider. The app will simply display insights for the user as they become relevant. Blood glucose predictions come from One Drop's machine learning models, which are powered by over 1.1 billion data points collected by more than 860,000 One Drop Mobile app users worldwide.