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A 20-Year Community Roadmap for Artificial Intelligence Research in the US Artificial Intelligence

Decades of research in artificial intelligence (AI) have produced formidable technologies that are providing immense benefit to industry, government, and society. AI systems can now translate across multiple languages, identify objects in images and video, streamline manufacturing processes, and control cars. The deployment of AI systems has not only created a trillion-dollar industry that is projected to quadruple in three years, but has also exposed the need to make AI systems fair, explainable, trustworthy, and secure. Future AI systems will rightfully be expected to reason effectively about the world in which they (and people) operate, handling complex tasks and responsibilities effectively and ethically, engaging in meaningful communication, and improving their awareness through experience. Achieving the full potential of AI technologies poses research challenges that require a radical transformation of the AI research enterprise, facilitated by significant and sustained investment. These are the major recommendations of a recent community effort coordinated by the Computing Community Consortium and the Association for the Advancement of Artificial Intelligence to formulate a Roadmap for AI research and development over the next two decades.

Nao robot to become even more of a chatterbox with new software (video)

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You may remember Nao, a charming humanoid robot, for its exploits on the soccer field, dance floor, or even for its love of amateur dramatics. While Nao has enjoyed chatting with us humans since its maker Aldebaran Robotics added Nuance's speech recognition wizardry in 2011, the pair have today reaffirmed their desire to turn the droid into a true conversationalist. Upgraded cloud-based tech from Nuance will apparently "allow people to have truly natural conversations with the robot" in 19 different languages when the new models become available early next year. Furthermore, Nao has a fresh, distinct voice intended to better represent its "personality" -- one that's programmed never to tire of your trivial discussions. A demo of these new features can be seen below, although Nao mostly lets folks from Nuance and Aldebaran take the floor to talk of the partnership and the future of robot interaction.

30 AI people in Europe to follow on Twitter Sifted


It feels like this man needs no introduction, but for anyone who doesn't know who Demis Hassabis is, here's the lowdown. He's the cofounder and chief executive of the London-headquartered DeepMind AI lab, which was acquired by Google in 2014 for £400m. Prior to DeepMind, Hassabis had his own computer games company called Elixir Studios, but his passion for games goes way back. He was a chess master at the age of 13 and the second-highest-rated under 14 player in the world at one time. Catherine Breslin is a machine learning scientist and consultant based in Cambridge.

Artificial intelligence can't save us from human stupidity Editorial


Looking over the year that has passed, it is a nice question whether human stupidity or artificial intelligence has done more to shape events. Perhaps it is the convergence of the two that we really need to fear. Artificial intelligence is a term whose meaning constantly recedes. Computers, it turns out, can do things that only the cleverest humans once could. But at the same time they fail at tasks that even the stupidest humans accomplish without conscious difficulty.

AI Ethics Missing as Machine Learning Advances « Techtonics


Teaching a computer to "think" the way the human brain does means feeding it huge amounts of real-world data so that it can learn, analyze, predict, and solve problems. But in this brave new world of artificial intelligence (AI) and machine learning, there are no ethical guidelines, no regulations, and no parameters to govern how this data is collected and used. Artificial intelligence is a computer science branch that aims to develop computers that can learn and solve problems, much as a human brain does. When BM's AI supercomputer Watson is enlisted to help doctors tailor therapy to breast cancer patients, it needs to consume high volumes of medical data before it can provide better insights into personalized treatment options and their outcomes. Every time you pick a Netflix movie or ask your digital voice assistant to call a friend, you are dealing with AI.