Featured stories Smartphone innovation to ramp in 2019 thanks to foldable screens, in-screen fingerprint, 5G Microsoft open sources key Windows UX Frameworks, launches first Visual Studio 2019 preview Cyber security: Hackers step out of the shadows with bigger, bolder attacks Create your own free Adobe Creative Cloud with free and open source software Facebook AI researcher urges peers to step out into the real world The video game Breakout from Atari first burst onto the scene in 1976. The game, a simple matter of moving a paddle horizontally to bounce a ball into walls and chip away at them, has become a mainstay of training artificial intelligence. But perhaps it is time to break out of Breakout. That was one notion that emerged Wednesday morning in a keynote talk by Joelle Pineau, a scientist with Facebook’s AI research unit, at the prestigious NeurIPS conference on machine learning in Montreal. Also: IBM, Apple, and Facebook represent new tilt toward business for venerable AI conference Pineau’s immediate concern is that too much of today’s work in machine learning, despite many virtues, leaves out aspects of rigor. For example, a lot of the research is done with simulated worlds, things constructed in a pristine fashion within the computer. Those simulations may help make results reproducible, which is good, but they miss a lot of the complexity of the natural world, which may make the work less meaningful, less rigorous, Pineau suggested. “I love that the simulators help reproducibility,” said Pineau. “We want that… [Read full story]
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