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What Does Facebook's Quite AI Acquisitions Across UK Signify?


The social media giant Facebook has always been at the forefront of AI advancement. Amid all the controversies and roadblocks in its strive to attain AI leadership, the company is moving forward with innovation and tech developments. These developments are a major result of its acquisitions; small but significant. Facebook's M&A activities are proving to be quite beneficial in its AI journey. Recently, the company acquired Scape Technologies which is a London-based computer vision startup working on location accuracy beyond the capabilities of GPS.

Register now for SAS Global Forum 2020, March 29-April 1


In Washington, DC, where big decisions are made daily, an assembly of executives, data scientists and analytics professionals will gather for the world's premier analytics conference, SAS Global Forum. During the event, March 29 through April 1, these analytics enthusiasts will share insights and learn how analytics and artificial intelligence (AI) help businesses make better, faster decisions that improve lives around the globe. This year's conference will transform the Walter E. Washington Convention Center into an interactive analytics showcase. Featuring more than 600 sessions from leading organizations across industries, SAS Global Forum also includes hands-on workshops, e-learning, training, demos and networking opportunities, all designed to empower users and executives to "Do Great Things," this year's theme. Now in its 44th year, SAS Global Forum showcases the technologies and industry topics that analytics professionals most want on the agenda.

Pear Therapeutics Expands Pipeline with Machine Learning, Digital Therapeutic and Digital Biomarker Technologies - Pear Therapeutics


Boston and San Francisco, January 7, 2020 – Pear Therapeutics, Inc., the leader in Prescription Digital Therapeutics (PDTs), announced today that it has entered into agreements with multiple technology innovators, including Firsthand Technology, Inc., leading researchers from the Karolinska Institute in Sweden, Cincinnati Children's Hospital Medical Center, Winterlight Labs, Inc., and NeuroLex Laboratories, Inc. These new agreements continue to bolster Pear's PDT platform, by adding to its library of digital biomarkers, machine learning algorithms, and digital therapeutics. Pear's investment in these cutting-edge technologies further supports its strategy to create the broadest and deepest toolset for the development of PDTs that redefine standard of care in a range of therapeutic areas. With access to these new technologies, Pear is positioned to develop PDTs in new disease areas, while leveraging machine learning to personalize and improve its existing PDTs. "We are excited to announce these agreements, which expand the leading PDT platform," said Corey McCann, M.D., Ph.D., President and CEO of Pear.

Intuition Robotics raises $36 million to bring AI companions to everyone


Israeli robotics startup Intuition Robotics has raised $36 million in a series B round of funding co-led by Sparx Group and OurCrowd, with participation from Samsung Next, Toyota AI Ventures, Bloomberg Beta, iRobot, Sompo Holdings, Union Tech Ventures, Happiness Capital, and Capital Point. Founded in 2015, Intuition Robotics is creating what it calls "social companion" robots and related technologies, with an initial focus on reducing loneliness and isolation in elderly people. The company's first product was a $1,500 robot called ElliQ that opened for preorders last January and has accumulated "over 10,000 days" in homes across the U.S., though the company hasn't revealed specific sales figures. The majority of ElliQ's users are between 80 and 90 years of age. ElliQ more closely resembles a desk lamp than a humanoid, and it sits on a small dock with a tablet screen and cameras.

Industry 4.0 Must Weave into Clothing Supply Chain


The clothing sector must embrace Industry 4.0 to boost productivity and harness creativity by providing a single, connected platform for all supply chain processes, writes GlobalData. Industry 4.0 – or the fourth industrial revolution – is a hot topic in manufacturing. Its premise is that combining new technologies such as artificial intelligence (AI), machine learning, the Internet of Things (IoT) and robotics with real-time data can transform factories into fully automated entities that offer a more predictive and responsive approach to production. "For the labour-intensive clothing industry with its long and complex global supply chains, Industry 4.0 has the potential to improve efficiency, speed up the whole planning and production process, reduce lead-times and allow brands to interact with supply chain partners in real-time," says Leonie Barrie, Apparel Analyst at GlobalData. "We already have 3D design and virtual prototyping tools, as well as intelligent cutting and sewing systems, but imagine the possibilities of a truly networked supply chain, where every step is seamlessly connected from design to manufacturing to the consumer."

Artificial intelligence: MEPs want to ensure a fair and safe use for consumers News European Parliament


The resolution addresses several challenges arising from the rapid development of artificial intelligence (AI) and automated decision-making (ADM) technologies, with a special focus on consumer protection. Parliament welcomes the potential of ADM to deliver innovative and improved services to consumers, including new digital services such as virtual assistants and chatbots. However, when interacting with a system that automates decision-making, one should be "properly informed about how it functions, about how to reach a human with decision-making powers, and about how the system's decisions can be checked and corrected", it adds. Those systems should only use high-quality and unbiased data sets and "explainable and unbiased algorithms", states the resolution. Review structures should be set up to remedy possible mistakes in automated decisions.

MWC canceled! How business, tech, travel and autos are shaken by the coronavirus

USATODAY - Tech Top Stories

Your iPhone, television and video game console were likely made in China where the deadly coronavirus is shuttering business operations as scientists race to find a cure. Apple, LG and Amazon are just a few of the household names that are taking measures to protect local workers and business travelers from the deadly outbreak which seemingly began in the central city of Wuhan. As a result, China's manufacturing output is being delayed in ways that will become more pressing as time goes on. Consumer electronics isn't the only sector being rattled by the outbreak that has killed over a thousand people and sickened thousands of others worldwide. Airlines have largely restricted travel into and out of China, curtailing tourism.

Global Forecast for Artificial Intelligence (AI) Chipsets (2021 to 2026) - High Tech & Emerging Markets Report -


The "2020 Global Forecast for Artificial Intelligence (Ai) Chipsets (2021-2026 Outlook)-High Tech & Emerging Markets Report" report has been added to's offering. This report contains timely and accurate market statistics and forecasts on the market for over 140 countries. Published annually, it provides a unique and accurate estimate on market sizing for this equipment/material using a proprietary economic model that integrates historical trends (horizontal analysis) and longitudinal analysis of incorporated industries (vertical analysis). Estimates on equipment or material sales (product shipments value) are published historically for 2013 to 2017, projections for 2016 to 2020 and forecasts for 2021 to 2026. Product shipments include the total value of all products produced and shipped by all producers.

Amazon Personalize can now use 10X more item attributes to improve relevance of recommendations Amazon Web Services


Amazon Personalize is a machine learning service which enables you to personalize your website, app, ads, emails, and more, with custom machine learning models which can be created in Amazon Personalize, with no prior machine learning experience. AWS is pleased to announce that Amazon Personalize now supports ten times more item attributes for modeling in Personalize. Previously, you could use up to five item attributes while building an ML model in Amazon Personalize. This limit is now 50 attributes. You can now use more information about your items, for example, category, brand, price, duration, size, author, year of release etc., to increase the relevance of recommendations.