Researchers from the University of Illinois at Urbana-Champaign think mimicking nature is the best way to help robots take flight. So with the help of a 3D printer they've created a flying robotic bat complete with a layer of fake silicone skin for the wing's membranes. It somehow manages to make real bats look almost cute in comparison. Weighing in at just 92 grams thanks to a carbon fiber airframe, the Bat Bot--or B2, for short--uses five motors on board to control the flapping and articulation of its wings. It's intelligent, too, with an onboard microprocessor and sensors that allow it navigate a room without the need for an exterior motion capture system keeping it out trouble.

Like electricity transformed everything we do, artificial intelligence will reshape our world. AI, essentially intelligent machines, could change industries from retail to finance to transportation. That will change our lives, said a panel of experts Monday discussing "The State of AI" at the EmTech Digital Conference in San Francisco. And just how all companies use the Internet, they may need to start expanding their data teams. Three of the biggest experts in artificial intelligence, Andrew Ng, Peter Norvig and Oren Etzioni, say despite its recent boom, AI still has a long way to go.

If you look at the record, America has been concerned about not alienating Pakistan for the last 10 years or more. But the Afghans are clear about this, and the Americans know that one of the reasons the Taliban insurgency has been resilient is that they have sanctuaries across the border in Pakistan, in Balochistan. I think the Americans were thinking that Pakistan would probably deliver the Taliban, because they had influence over them. Pakistan claims they have control, but then they say, "well, we don't have full control, we can bring them to the table but we can't make them do things unless you promise something concrete."

SeaDrone, the underwater robot coming out of a new company founded by two Stanford AI lab veterans, is aiming to make fish farming a lot easier--particularly for smaller aquaculture operations--by making underwater inspection cheaper and easier. The ocean ROV's story is not an unusual one for Silicon Valley: two Stanford students meet over a lab bench, get an idea that something they'd been tinkering around with for themselves could be turned into a product and the basis of a company. It's a story Silicon Valley loves. Eduardo Moreno met Shuyun Chung in the Stanford AI lab in 2013. Moreno, in the thick of his studies for a master's degree in mechanical engineering, was working on underwater robot hardware in collaboration with King Abdullah University of Science and Technology in Saudi Arabia.

When AlphaGo, Google's artificial intelligence program, defeated champion Go player Lee Sedol earlier this year, everyone praised its advanced software brain. But the program, developed by Google's DeepMind research team, also had some serious hardware brawn standing behind it. The program was running on custom accelerators that Google's hardware engineers had spent years building in secret, the company said. With the new accelerators plugged into the AlphaGo servers, the program could recognize patterns in its vast library of game data faster than it could with standard processors. The increased speed helped AlphaGo make the kind of quick, intuitive judgments that define how humans approach the game.

The rise of artificial intelligence could have a more anticlimactic outcome than most doomsday films would have you expect. Rather than being violently wiped out by robotic beings, humankind may become'eternally useless' due to the increasing capabilities of AI. This is according to bestselling author Yuval Noah Harari, who explores bleak future of humanity and'the rise of the useless class' in his upcoming novel Homo Deus: A Brief History of Tomorrow. The rise of artificial intelligence could have a more anticlimactic outcome than most doomsday films would have you expect. Rather than being violently wiped out by robotic beings, the increasing capabilities of AI may instead render humankind'eternally useless.'

We study the K-armed dueling bandit problem, a variation of the standard stochastic bandit problem where the feedback is limited to relative comparisons of a pair of arms. The hardness of recommending Copeland winners, the arms that beat the greatest number of other arms, is characterized by deriving an asymptotic regret bound. We propose Copeland Winners Relative Minimum Empirical Divergence (CW-RMED) and derive an asymptotically optimal regret bound for it. However, it is not known whether the algorithm can be efficiently computed or not. To address this issue, we devise an efficient version (ECW-RMED) and derive its asymptotic regret bound. Experimental comparisons of dueling bandit algorithms show that ECW-RMED significantly outperforms existing ones.

We discuss a multiple-play multi-armed bandit (MAB) problem in which several arms are selected at each round. Recently, Thompson sampling (TS), a randomized algorithm with a Bayesian spirit, has attracted much attention for its empirically excellent performance, and it is revealed to have an optimal regret bound in the standard single-play MAB problem. In this paper, we propose the multiple-play Thompson sampling (MP-TS) algorithm, an extension of TS to the multiple-play MAB problem, and discuss its regret analysis. We prove that MP-TS for binary rewards has the optimal regret upper bound that matches the regret lower bound provided by Anantharam et al. (1987). Therefore, MP-TS is the first computationally efficient algorithm with optimal regret. A set of computer simulations was also conducted, which compared MP-TS with state-of-the-art algorithms. We also propose a modification of MP-TS, which is shown to have better empirical performance.

Have you ever wanted to order a bucket of fried chicken without having to speak to a single a human being? Now you can! KFC, in partnership with Chinese search engine giant Baidu, has just opened the world's first human-free fast food restaurant in Shanghai, reports SoHu. The intelligent robot concept store, Original (pronounced, "Original Plus"), looks unlike any KFC you've ever seen. The interior is designed in a traditional Chinese garden style with bamboo, flowers, and jade accents. Customers enter through a big circular doorway.

DEDHAM, MA--(Marketwired - May 17, 2016) - Rage Frameworks, a provider of knowledge-based automation technology and services, today announced that it will attend MIT Technology Review's fourth annual West Coast Emerging Digital Technologies (EmTech Digital) Conference, which brings together innovators, entrepreneurs, business leaders and venture capitalists to examine what's next for artificial intelligence across professional industries. The event will explore the latest research on artificial intelligence techniques, including deep learning and speech and image recognition, that are providing machines with valuable new capabilities and making the automation of more business decisions possible. Rage Frameworks' CEO Dr. Venkat Srinivasan will present "AI in the Enterprise" at the EmTech Digital Conference, where he will outline how artificial intelligence is already impacting daily lives and the ways in which Rage's traceable deep learning technology, RAGE AI, is helping global financial services, consumer products and manufacturing firms overcome business problems faster than ever. RAGE AI enables intelligent systems with end-to-end knowledge-based automation including contextual, traceable deep learning. Where natural language is involved, using deep linguistic parsing and proprietary linguistics-based innovations it enables the understanding of the real meaning of documents and interprets them as a human would.