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AI with AI

Episode 2.10: Distilled Data: 200 Proofs

In shorter news items, Andy and Dave discuss the announcement that the Allen Institute for Artificial Intelligence is partnering with Microsoft Research to connect AI2’s Semantic Scholar academic search engine with Microsoft’s Academic Graph. The University of Pavia in Italy demonstrates an artificial neuron (a perceptron) on an actual quantum processor. Another Tesla on Autopilot has an accident, and Waymo demonstrates that pure imitation learning (with 30 million examples) is not sufficient for teaching a model to drive a car. And Tumblr implements a porn-detecting AI. In research topics, researchers with Facebook AI, MIT, and UC Berkeley demonstrate “dataset distillation,” compressing 60,000 MNIST images into 10 synthetic images. Researchers at the University of Maryland demonstrate the ability to hide adversarial attacks from network interpretation; so for networks that visually locate the item identified, that network would locate the “original” item instead of the adversarial item. Adobe and Auburn show that neural networks fail miserably for “out-of-distribution” inputs (or, “strange poses of familiar objects”), and they probe deeper into the parameters that cause the misbehavior. In other news, the AI Narratives Report explores how AI is portrayed and perceived. The AI Index releases its 2018 version. AI researchers have a spirited debate on Twitter about deep learning and symbol manipulation. Quantum Computing: Progress and Prospects provides a deeper look at this nascent technology. And Juergen Schmidhuber gives a TEDx talk on how “true AI” will change everything.

CNA Office of Communications

John Stimpson, Communications Associate