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AI with AI

Episode 2.13: Undecidable: They Called Me Mr. GAN

Andy and Dave discuss Microsoft’s $1.76B five-year service deal with the Department of Defense, US Coast Guard, and the intelligence communities; the US Defense Innovation Board announces its first "public listening session" on AI principles; Finland announces an AI experiment to teach 1% of its population the basics of AI; a report from the Center for the Governance of AI and the Future of Humanity Institute reports on American attitudes and trends toward AI, and the Reuters Institute for the Study of Journalism examines UK media coverage of AI. In research news, MIT and IBM Watson AI Lab dissect a GAN to visualize and understand its inner workings, and they identify clusters of neurons that represent concepts; they also created GAN Paint, which lets a user add or subtract elements from a photo. Research from NYU and Columbia trained a single network model to perform 20 cognitive tasks, and discover this learning gives rise to the compositionality of task representations, where one task can be performed by recombining representations from other tasks. Researchers at the University of Waterloo, Princeton University, and Tel Aviv University demonstrate that a type of machine learning can be undecidable, that is, unsolvable. Jeff Huang at Brown University has compiled a list of the best papers at computer science conferences since 1996; McGill and Google Brain offer a condensed Introduction to Deep Reinforcement Learning; Nature launches the inaugural issue of Nature Machine Intelligence, and a paper explores designing neural networks through neuroevolution. Major General Mick Ryan debuts a sci-fi story “AugoStrat Awakenings;” NeurIPS 2018 makes all videos and slides available, and USNI’s Proceedings publishes an essay from CAPT Sharif Calfee on The Navy Needs an Autonomy Project Office.

CNA Office of Communications

John Stimpson, Communications Associate