When you finally get your chance to ride in an autonomous Uber, you may find yourself clambering into a Mercedes-Benz. That's because Daimler, which owns Mercedes, announced today that it will use Uber's immense network to deploy its own robocars. Last year, it struck up with Volvo, which built Uber's autonomous tech into a fleet of XC90 SUVs for testing in Pittsburgh and San Francisco (until the California DMV kicked it out). But the Daimler deal marks a new approach for Uber. Until now, its public plan called for stuffing its homegrown tech into vehicles built by an established manufacturer like Volvo, then deploying it.

The Rivers Casino in Pittsburgh may not seem a likely setting for a major scientific breakthrough. But on Tuesday, it was: Libratus, an AI system developed by Carnegie Mellon University, beat the world's top four human players in a 20-day tournament of Head's-Up No-Limit Texas Hold'em poker. Libratus, developed by Carnegie Mellon's Tuomas Sandholm, a professor of computer science, and Noam Brown, a Ph.D. student in computer science, competed against Dong Kim, Jimmy Chou, Daniel McAulay, and Jason Les in a competition called "Brains Vs. Artificial Intelligence: Upping the Ante"--during which 120,000 hands were played. "This is the last frontier," said Sandholm during a press conference on Tuesday.

SYS-CON Events announced today that Conference Guru has been named "Media Sponsor" of SYS-CON's 20th International Cloud Expo, which will take place on June 6-8, 2017, at the Javits Center in New York City, NY. A valuable conference experience generates new contacts, sales leads, potential strategic partners and potential investors; helps gather competitive intelligence and even provides inspiration for new products and services. Conference Guru works with conference organizers to pass great deals to great conferences, helping you discover new conferences and increase your return on investment. All major researchers estimate there will be tens of billions devices - computers, smartphones, tablets, and sensors - connected to the Internet by 2020. This number will continue to grow at a rapid pace for the next several decades.

Uber has made a major step towards making its self driving cars commonplace with a new deal with Germany's Daimler AG, maker of the luxury Mercedes-Benz cars and trucks. In the coming years, Daimler plans to incorporate its own self-driving Mercedes-Benz into Uber's growing fleet of self-driving cars. Daimler is the first auto company to join Uber as it opens up its platform for manufacturers to introduce their own self-driving cars - and Uber will not own or manage the Daimler cars, and won't help with R&D, simply letting the cars become part of its fleet. Daimler is the first auto company to join Uber as it opens up its platform for manufacturers to introduce their own self-driving cars. 'Under the terms of the cooperation, Daimler plans to introduce self-driving vehicles... on Uber's global ridesharing network in the coming years,' the companies said in a joint statement.

Persistence Market Research delivers pertinent insights on the growth of the Cognitive Computing Market and identifies key market dynamics impacting this growth. New York City, NY -- (SBWIRE) -- 01/27/2017 -- In the ever changing world of information technology, business organizations are left with humongous amount of data with them. This data includes very critical information for business use, but business organizations are only able to utilize 20% of whole data available with them with the use of traditional data analytics technology. To process and interpret the reaming 80% of the data that is in the form of videos, images, and human voice (also called as dark data), there is a need of cognitive computing systems. Cognitive computing systems are typical combination of hardware and software that constitute natural language processing (NLP) and machine language, and have capability to collect, process, and interpret the dark data available with business organizations.

Health Catalyst has used healthcare.ai to build predictive models that drive its clients' outcomes improvement efforts and span across the company's product lines. Models include but are not limited to a predictive model for central line associated blood stream infection (CLABSI), readmission models for COPD and other chronic conditions, schedule optimization, and financial predictions such as patient propensity to pay. "Machine learning and artificial intelligence are going to transform healthcare. We are seeing amazing results and yet we are barely getting started. We are applying it to the reduction of patient harm events, care management, hospital acquired infections, revenue cycle management, patient risk stratification, and more," said Dale Sanders, Executive Vice President of Health Catalyst.

Apple published its first paper on AI last month and now the company is set to join five others in a newly-formed research group. The Partnership on AI announced today that Apple would become its sixth founding member, adding to a lineup that already touts Amazon, Facebook, Google, IBM and Microsoft. The group was first formed last September as a means of supporting research, establishing ethical guidelines and promoting both transparency and privacy when it comes to AI studies. In today's announcement, the Partnership on AI explained that Apple has already been working with the group before it was made official last fall, but now the company is a full member alongside those other tech titans. Part of today's news was also that the group selected its board of trustees that will oversee the initiative.

WIRE)--Virtualitics, LLC, a data analytics in virtual reality (VR) and augmented reality (AR) startup, today announced the launch of its new tool that combines powerful data visualization in VR/AR and artificial intelligence to provide insights and discover actionable knowledge hidden in big and complex data. The company also announced they closed a $3 million investment seed round from angel investors. Virtualitics combines VR/AR with machine learning and natural language in a data exploration, collaborative environment suitable for both data scientists and non-expert users. The technology is the only one of its kind that can provide a simultaneous rendering of up to 10 dimensions, revealing multidimensional relationships present in the data, which may not be discoverable in any other way. The company is based on over a decade of research at Caltech and NASA's Jet Propulsion Laboratory (JPL) and was founded by: professor George Djorgovski, the founding director of Caltech's Center for Data-Driven Discovery; Michael Amori, former Deutsche Bank managing director, Harvard MBA and Caltech alumnus; Dr. Ciro Donalek, computational scientist at Caltech; and Dr. Scott Davidoff, manager of the Human Interfaces Group at NASA's JPL.

Their machine-learning platform predicted a trio of reagents that was able to generate a never-before-seen cancer-like phenotype in tadpoles. The research, reported in Scientific Reports on January 27, shows how artificial intelligence (AI) can help human researchers in fields such as oncology and regenerative medicine control complex biological systems to reach new and previously unachievable outcomes. The researchers had previously shown that pigment cells (melanocytes) in developing frogs could be converted to a cancer-like, metastatic form by disrupting their normal bioelectric and serotonergic signaling and had used AI to reverse-engineer a model that explained this complex process. However, during these extensive experiments, the biologists observed something remarkable: All the melanocytes in a single frog larva either converted to the cancer-like form or remained completely normal. Conversion of only some of the pigment cells in a single tadpole was never seen; how, the researchers asked, could such an all-or-none coordination of cells across the tadpole body be explained and controlled?

WorkFusion, the leading provider of intelligent automation, has closed a $35 million Series D financing round led by Georgian Partners with participation from existing investors Mohr Davidow Ventures, iNovia, Nokia Growth Partners (NGP), Greycroft and RTP Ventures, bringing total funds raised to $71 million. The funding will accelerate customer adoption of AI-powered automation as they realize the immense productivity gains from digitizing business processes. "We invested in WorkFusion not only because it aligns with our thesis that AI will transform business, but most importantly because the company has made machine learning practical and powerful for enterprise operations," said Justin LaFayette, Managing Partner at Georgian Partners. "WorkFusion has category leading products and a strong leadership aligned by a powerful vision of helping businesses drive rapid productivity improvements with AI." WorkFusion transforms operations through self-learning, process-level automation that eliminates up to 90% of manual back-office work and AI-powered chat bots that increase front office service center capacity by 5x. "IDC estimates the AI and cognitive systems market will grow from $8 billion in 2016 to over $47 billion in 2020 and businesses are looking to invest in the most innovative and comprehensive automation technologies on the market," said Max Yankelevich, WorkFusion CEO.