France Initiatives to Tackle the Challenges of Artificial Intelligence

#artificialintelligence

Five'table ronde' or round table were organised mostly with academics on the different aspects of the societal moves due to Artificial Intelligence (AI or IA in French): It was pointed that some milestone progress on deep learning has been achieved. Machines have surpassed human champions in most intellectually challenging games, including Chess, Scrabble, Othello, even Jeopardy. On March 2016, the Google AlphaGo DeepMind's Artificial Intelligence program beat Lee Sedol, the strongest Go player in the world. Go--a 2,500-year-old game is far more complex than Chess. An exceptional powerful computer had to process more than 30 million moves.


A.I. is Now 10 Times Better Than a Pro Poker Player

#artificialintelligence

Scientists at the University of Alberta are cracking away at the complexities of artificial intelligence with their new "DeepStack" system, which can not only play a round of poker with you, but walk away with all of your money. This new technology builds upon the legacy of systems like IBM's Deep Blue, which was the first program to beat a world champion, Gary Kasparov, at chess in 1996. As Michael Bowling, co-author of the research and leader of the Computer Poker Research Group at Alberta, puts it: poker is the next big step for designing AI. In a game of Heads Up No Limit poker, DeepStack was able to win against professional poker players at a rate of 49 big blinds per 100. "We are winning by 49 per 100, that's like saying whatever the players were doing was not that much more effective than if they just folded every hand," Bowling tells Inverse.


AI Game-Playing Techniques

AI Magazine

In conjunction with the Association for the Advancement of Artificial Intelligence's Hall of Champions exhibit, the Innovative Applications of Artificial Intelligence held a panel discussion entitled "AI Game-Playing Techniques: Are They Useful for Anything Other Than Games?" This article summarizes the panelists' comments about whether ideas and techniques from AI game playing are useful elsewhere and what kinds of game might be suitable as "challenge problems" for future research.


IoT and artificial intelligence at Bosch ConnectedWorld Chicago

#artificialintelligence

Until recently, artificial intelligence (AI) was primarily limited to computer chess players and jeopardy. In the last few years, however, the pace of innovation in AI has skyrocketed, driven by tipping points in algorithms, processing (GPUs), and increasing volumes of data. While there is an infinite set of use cases for AI, the Internet of Things is a particularly interesting breeding ground for new AI-driven solutions and experiences, from self-driving cars to intelligent homes to mHealth. In this talk at Bosch ConnectedWorld Chicago, MongoDB's Dev Ittycheria discusses how the massive increase in data driven by sensors will drive the next wave of innovation in AI.


Facebook AI Go Player Gets Smarter With Neural Network And Long-Term Prediction To Master World's Hardest Game

#artificialintelligence

Facebook continues its efforts to create artificial intelligence capable of outclassing all humans at the ancient Chinese strategy board game Go. The social media company recently published a research paper showcasing the progress it made with the DarkForest bots, which use a synergy of methods to be the best Go players available. Yuandong Tian and Yan Zhu, AI researchers at Facebook, explain how the computer program behaves in the abstract of the paper. "Against human players, [darkfores2 achieves] a stable 3d level on KGS Go Server as a ranked bot," the duo points out [pdf]. This is a visible improvement over the predicted 4k-5k ranks for DCNN that Clark & Storkey (2015) reported after studying matches against other machine players.