German automaker BMW, which is already in that list, is likely to announce an expansion of its efforts Friday. The luxury vehicle maker will hold a joint press conference with technology companies Intel Corp. and Israel-based Mobileye. A press release issued by Intel late Wednesday said only that the "three companies have something exciting to share" during the Friday conference. Analysts widely expect the announcement of a collaborative effort to develop autonomous driving technology. A possible cooperation between the three companies would bring together a premium car manufacturer, one of the world's leading chip makers and a software company that specializes in driver assistance systems.

Professor Soibelman and his research group at the Sonny Astani Department of Civil and Environmental Engineering will have access to Crunchflow's large metadata database that has anonymous performance information from thousands of projects and employees allocated in professional service organizations. The researchers' mission is to find in this data preliminary patterns and results that help to understand how companies can boost efficiency levels. They also want to demonstrate the potential for extracting knowledge from such a database. Crunchflow's CEO Daniel Knijnik believes that the collaboration will place the company in the forefront of a technology that has the potential to revolutionize how artificial intelligence is applied to business. "We will have top researchers entirely dedicated to innovation, using the latest and most modern technology", he said.

Israeli machine-learning radiology firm Zebra Medical Vision said today it raised 12 million to support the development of imaging algorithms being designed for automatic reading and diagnosis of medical imaging data. The round was led by InterMountain Healthcare, and joined by existing investors, Zebra Medical Vision said. As part of its investment, InterMountain Healthcare plans to work with Zebra to accelerate its development. "We are privileged that 1 of the top healthcare systems in the U.S. has placed such confidence in our team and our platform. In an environment where computing power and machine learning frameworks are becoming a commodity, the ability to quickly and efficiently curate large quantities of data from a world class integrated healthcare provider can make the difference between simplistic tools and insights that can truly add clinical value and positively impact patient care," CEO Elad Benjamin said in a prepared statement.

MedyMatch Technology, a startup from Israel that specializes in medical imaging analysis for emergency medicine, has its first U.S. hospital partner. Capital Health, a two-hospital system in New Jersey, will deploy MedyMatch's artificial intelligence-based analytics in the emergency department and help the Tel Aviv-based vendor develop a clinical decision support tool for stroke care. To accomplish the latter, Capital Health, based in Hopewell Township, New Jersey, has agreed to provide MedyMatch with anonymized data from patients, the organizations said Monday. "The data Capital Health will provide will allow us to move closer to providing this decision support tool which can help ensure appropriate diagnosis, critical for treatment," MedyMatch Chairman and CEO Gene Saragnese said in a prepared statement. Saragnese was CEO of Philips Imaging before joining the startup a year ago.

Anki has today unveiled their new creation in the form of Cozmo a friendly robot which is equipped with artificial intelligence, as well as a companion smartphone application. The new Cozmo robot is now available to preorder price to 160 offering a 20 saving of the retail price of 180 when the little robot launches later this year before the holiday season during October 2016. Check out the video below to learn more about the inspiration, design and technology that has been used to create Cosmo the interactive robot that is capable of expressing his feelings and playing with his power cubes. Anki explains more about their new pocket robot. Cozmo doesn't just move; he gets curious and explores.

Genpact (NYSE: G), a global leader in digitally-powered business process management and services, today launched its Neural Intelligence Platform that harnesses the power of artificial intelligence technologies, and brings middle and back office processing to the same level of digital automation as the front office to drive seamless customer journeys. Using a cognitive system powered by natural language processing, machine and deep learning techniques, the platform provides a versatile artificial intelligence-based capability that digitizes many business process solutions, including omni-channel management, contact center, account payable query management, and financial and accounting automation. The platform is the result of more than a decade of research and development in high performance business processing practices, recently crystallized into digital solutions through an aggressive build out of advanced technologies including robotic process automation, natural language processing, and machine learning. The platform also leverages Genpact's unique Lean DigitalSM approach that harnesses the combined power of process-centric technologies, design thinking, and deep domain expertise.

Genpact (NYSE: G), a global leader in digitally-powered business process management and services, today launched its Neural Intelligence Platform that harnesses the power of artificial intelligence technologies, and brings middle and back office processing to the same level of digital automation as the front office to drive seamless customer journeys. Using a cognitive system powered by natural language processing, machine and deep learning techniques, the platform provides a versatile artificial intelligence-based capability that digitizes many business process solutions, including omni-channel management, contact center, account payable query management, and financial and accounting automation. The platform automates and improves processes, continually learns, and even can help anticipate customers' needs. Enterprises struggle to effectively integrate digital technologies into business processes that cut across the company to deliver the right customer experience. Analytics also must drive more upstream decisions around product design, customer sentiment, and distribution chain visibility.

Soteria Intelligence is excited to announce the company's research and development focused on creating the next generation of social media threat intelligence solutions with the power to learn and become more effective over time. Instead of taking an approach that looks at combinations of keywords, conversations on a map or other social media analytics that produce a high number of recurring false positives, Soteria Intelligence is implementing machine learning to use false positives, vetted by analysts, as educational tools that continually improve system accuracy. The company is also training its system with proprietary data on past social media threats and, through the understanding of false positives and integration of historical data, combined with natural language processing, image recognition, sentiment analysis and other functionality, Soteria Intelligence is revolutionizing the way social media threats are identified and assessed. "As someone who has spent the past 10 years guiding large organizations throughout the world on complex social media initiatives while using social media analytics tools along the way, I understand where they shine and fall short. I also see what's needed to accurately identify threatening social media behavior on the horizon," stated Aaron Schoenberger, Founder and CEO of Soteria Intelligence.

In this week's Brain Boost: Adidas' robots, AI and humans, and getting started with crowdfunding. Adidas' Robots Robotic manufacturing is going beyond cars for the first time. Adidas, the German sportswear company, announced that the first ever robotic reproduced shoe line will be available to customers in 2017 and, though Adidas is not aiming for full robotic automation, it is looking to learn more about the possibilities of robotic manufacturing, starting with this for a series of shoes. AI Humans However, on the other side of the Atlantic, the 2016 Exponential Manufacturing Conference wrapped up and one of the world's foremost data scientists, Professor Sandy Pentland of MIT, says that artificial intelligence is best used in collaboration with humans. Professor Pentland says that one of the most common challenges to large organizations is delivering the right information to the right people at the right time and he's proposing that software developers use artificial intelligence programs to predict who needs what data when and where and then use the internal computing systems to deliver key figures, best practices, etc. at the right time to the right people.

CVPR 2016 -- CEVA, Inc. (NASDAQ: CEVA), the leading licensor of signal processing IP for smarter, connected devices, today introduced CDNN2 (CEVA Deep Neural Network), its second generation neural network software framework for machine learning. CDNN2 enables localized, deep learning-based video analytics on camera devices in real time. This significantly reduces data bandwidth and storage compared to running such analytics in the cloud, while lowering latency and increasing privacy. Coupled with the CEVA-XM4 intelligent vision processor, CDNN2 offers significant time-to-market and power advantages for implementing machine learning in embedded systems for smartphones, advanced driver assistance systems (ADAS), surveillance equipment, drones, robots and other camera-enabled smart devices. CDNN2 builds on the successful foundations of CEVA's first generation neural network software framework (CDNN), which is already in design with multiple customers and partners.