Marking a major step forward for artificial intelligence (AI), Libratus, an AI developed by Carnegie Mellon University (CMU), has resoundingly beaten four of the best heads-up no-limit Texas hold'em poker players in the world in a marathon, 20-day competition. After 20 days and a collective 120,000 hands played, Libratus closed out the competition Monday leading the pros by a collective $1,766,250 in chips. "I'm just impressed with the quality of poker Libratus plays," pro player Jason Les, a specialist in heads-up no-limit Texas hold'em like the other three players, said at a press conference yesterday morning. "They made algorithms that play this game better than us. We make a living trying to find vulnerabilities in strategies. That's what we do every day when we play heads-up no-limit. We tried everything we could and it was just too strong."

These capabilities will in many cases be integrated into our living systems. We thus face the question: What might remain uniquely human? And does this question even matter? AIs will become better and faster than unenhanced homo sapiens at nearly everything. AIs will become better and faster than unenhanced homo sapiens at nearly everything.

By predicting moods, AI like this can help ease social interactions for people who find them difficult. Researchers at the Massachusetts Institute of Technology's Computer Science and Artificial Intelligence Laboratory (CSAIL) and the Institute of Medical Engineering and Science (IMES) have developed a wearable they say can predict the mood of its wearer by analyzing speech patterns and physiological signs. The system may someday serve as a social coach for people with anxiety or Asperger's syndrome. "Imagine if, at the end of a conversation, you could rewind it and see the moments when the people around you felt the most anxious," Tuka Alhanai, a CSAIL graduate student who worked on the project, said in a statement. "Our work is a step in this direction, suggesting that we may not be that far away from a world where people can have an AI social coach right in their pocket."

Facebook is testing a new feature that encourages users to befriend people they don't actually know. 'Discover People' invites you to "introduce yourself" first by updating various sections of your profile, including your bio and featured photos. Beneath this lies a list of upcoming events you're either interested in, registered to attend or invited to. The giant human-like robot bears a striking resemblance to the military robots starring in the movie'Avatar' and is claimed as a world first by its creators from a South Korean robotic company Waseda University's saxophonist robot WAS-5, developed by professor Atsuo Takanishi and Kaptain Rock playing one string light saber guitar perform jam session A man looks at an exhibit entitled'Mimus' a giant industrial robot which has been reprogrammed to interact with humans during a photocall at the new Design Museum in South Kensington, London Electrification Guru Dr. Wolfgang Ziebart talks about the electric Jaguar I-PACE concept SUV ...

Red Bull has launched its own virtual reality platform, and it requires a strong stomach. With a focus on extreme sports, it attempts to replicate some of the most exhilarating outdoor experiences for armchair fans, including cliff diving, skiing, helicopter aerobatics and urban exploration. The giant human-like robot bears a striking resemblance to the military robots starring in the movie'Avatar' and is claimed as a world first by its creators from a South Korean robotic company Waseda University's saxophonist robot WAS-5, developed by professor Atsuo Takanishi and Kaptain Rock playing one string light saber guitar perform jam session A man looks at an exhibit entitled'Mimus' a giant industrial robot which has been reprogrammed to interact with humans during a photocall at the new Design Museum in South Kensington, London Electrification Guru Dr. Wolfgang Ziebart talks about the electric Jaguar I-PACE concept SUV before it was unveiled before the Los Angeles Auto Show in Los ...

A Japanese amusement park is turning the fears of a robot-run world into a reality. The Huis Ten Bosch theme park in Nagasaki, Japan has created a restaurant with more robots than human employees – and an oknomiyaki flipping bot is the star of the show. The two-armed humanoid chef is designed to coat a griddle with oil, mix the batter and flip pancakes before completing the dish with mayonnaise and dried green seaweed. The Henn-na Restaurant is part of the Dutch-themed park Huis Ten Bosch in Nagasaki, Japan. There are autonomous bartenders and robotic servers and chefs.

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A silicon wafer designed to sort particles found in bodily fluids for the purpose of early disease detection. A chip that can diagnose a potentially fatal condition faster than the best lab in the country, a camera that can see so deeply into a pill it can tell if its molecular structure has more in common with a real or counterfeit tablet, and a system that can help identify if a patient has a mental illness just from the words they use: IBM is betting that a mix of AI and new hardware can make all three possible within the coming years. IBM's research labs are already working on turning these concepts into fully-fledged healthcare tools, combining the company's existing machine learning and artificial intelligence systems with newer kit including revamped silicon and millimetre wave phased array sensors. Playing House: How IBM's Watson is helping doctors diagnose the most rare and elusive illnesses Marburg Hospital's Centre for the Rare and Undiagnosed Diseases is using the cognitive computing system to solve some of the most complex medical cases. The latter will be used in'hyperimaging systems' -- tools that will be able to pick up not only images from the visible light that humans can see, but other parts of the electromagnetic spectrum that we can't.

UC San Francisco's Center for Digital Health Innovation (CDHI) today announced a collaboration with Intel Corporation to deploy and validate a deep learning analytics platform designed to improve care by helping clinicians make better treatment decisions, predict patient outcomes, and respond more nimbly in acute situations. The collaboration brings together Intel's leading edge computer science and deep learning capabilities with UCSF's clinical and research expertise to create a scalable, high-performance computational environment to support enhanced frontline clinical decision making for a wide variety of patient care scenarios. Until now, progress toward this goal has been difficult because complex, diverse datasets are managed in multiple, incompatible systems. This next-generation platform will allow UCSF to efficiently manage the huge volume and variety of data collected for clinical care as well as newer "big data" from genomic sequencing, monitors, sensors and wearables. These data will be integrated into a highly scalable "information commons" that will enable advanced analytics with machine learning and deep learning algorithms.

The industrial equipment on their ships have thousands of sensors that collect data in real time. As part of their digital transformation, the company's marine service unit, Carnival Maritime, wanted to explore how it might take advantage of this data to find opportunities for operational improvement. One of the areas they looked at was that of water consumption onboard their ship. This is a complex problem, as consumption patterns can vary widely. Passengers of different nationalities shower for different durations at different temperatures and times of the day, for instance, and there are numerous other variables that make such consumption challenging to predict.