Researchers: deep learning, which led to great advances in AI over the past decade, is nearing its limits and new approaches are needed for further progress
Tom Simonite / Wired : Tweets: @jkleske , @wired , @juansequeda , @alessianigretti , and @joemckendrick Tweets: Johannes Kleske / @jkleske : Another signal for your AI scenarios: “Leaders in artificial intelligence warn that progress is slowing, big challenges remain, and simply throwing more computers at a problem isn't sustainable.” https://www.wired.com/... @wired : “We have machines that learn in a very narrow way,” says Yoshua Bengio, an artificial intelligence researcher who shared computing's highest honor this year. https://www.wired.com/... Juan Sequeda / @juansequeda : Current status of AI/DL: Need reasoning and be cautious about the hype. Tell me something new! Rest of the CS community has been saying this Some interesting quotes: “Problems that involve reasoning or social intelligence ... are still out of reach https://www.wired.com/... Alessia / @alessianigretti : Neural networks are not the answer to every question https://www.wired.com/... Joe McKendrick / @joemckendrick : “Leaders in artificial intelligence warn that progress is slowing, big challenges remain, and simply throwing more computers at a problem isn't sustainable.” https://twitter.com/...