A new electric shuttle unveiled by Jaguar Land Rover will look to hit a happy medium between autonomous and manual driving. On Tuesday, the company announced'Project Vector', a futuristic-looking electric shuttle that they say is being built to transition into an autonomous vehicle if and/or when the technology arrives. While it has a traditional steering wheel and gas/brake pedals, it's interior is designed to accommodate private or shared use as well as use as a last-mile delivery vehicle. Jaguar Land Rover want'Project Vector' to function on multiple planes. The concept measures just four meters in length and is designed for urban use according to the companies.

ORO VALLEY, AZ / ACCESSWIRE / February 18, 2020 / Tautachrome, Inc. (OTC PINK:TTCM) announces Google's TensorFlow artificial intelligence (AI) for image classification in ARknet release 1.3.4. ARknet will have the ability to classify incoming images utilizing TensorFlow, Google's artificial intelligence (AI) engine. The deployment of TensorFlow AI image recognition enables ARknet to crowdsource its userbase for machine learning purposes. Since ARknet can have segmented datasets, the ability to develop specialized machine learning models will also allow services to be provided to a wide range of business applications, connected devices, and enterprise services. TensorFlow is planned as the first of many AI frameworks that will be introduced into the ARknet platform in the future.

The Commission has announced in its 2020 Work Programme that it will put forward a "European Strategy for Europe - Fit for the Digital Age", setting out its vision on how to address the challenges and opportunities brought about by digitalisation. Boosting the single market for digital services and introducing regulatory rules for the digital economy should be addressed in this strategy. It is expected to build on issues covered by the e-commerce directive and the platform-to-business regulation. The White Paper on Artificial Intelligence (AI) will aim to support its development and uptake in the EU, as well as to ensure that European values are fully respected. It should identify key opportunities and challenges, analyse regulatory options and put forward proposals and policy actions related to, e.g. The purpose of the Data Strategy would be to explore how to make the most of the enormous value of non-personal data as an ever-expanding and re-usable asset in the digital economy.

SAN FRANCISCO–(BUSINESS WIRE)–Databricks, the leader in unified data analytics, today announced keynote speakers alongside expanded technical content and training at Spark AI Summit which is taking place June 22 – 25 in San Francisco. To support continuous innovation and expansion of the conference content, Spark AI Summit welcomes Ben Lorica as the Program Chair. Spark AI Summit is the largest data and machine learning conference bringing together engineers, scientists, developers, analysts and leaders from around the world. "Over four days we'll gather the greatest minds in our industry to shape the future of big data, analytics and AI and share knowledge through training, over 180 talks and networking events. Spark AI Summit has become the destination for data teams to collaborate on solutions to solve the world's toughest problems," said Ali Ghodsi, cofounder and CEO at Databricks.

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.

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.

All of them credit the competition for putting them on the map as an auctioneer.

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." The most exciting opportunities lie in the ability to shake up the traditional model in which designs are pushed out to the consumer in the hope that they sell, to one that instead enables companies to design and sell products based on consumer demand.

AI-powered visual inspection pioneer Neurala today announced that its vision AI platform, Brain Builder, has been optimized to enable edge learning for manufacturing and other visual inspection use cases. The latest Brain Builder SDK will debut as a hackathon partner of Bosch ConnectedExperience (BCX), Europe's largest IoT hackathon, in Berlin, Germany from February 17-19. Brain Builder is the only edge learning-enabled AI tool that allows users to build, deploy and analyze custom vision AI solutions with instant feedback on performance and continuous learning in deployment. "Traditional approaches to training deep neural networks (DNN) often fall short in deployment when the network encounters a new situation at the edge that it was not trained to classify," said Massimiliano Versace, CEO and co-founder of Neurala. "This issue is compounded by the fact that oftentimes, DNNs are trained on a server, and then deployed on a smaller, less powerful compute edge that is incapable of learning new information."

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.