Above: (Left to Right) Judea Pearl, Fei-Fei Li, Stuart Russell, Ilya Sutskever, Raquel Urtasun, and Michael I. Jordan speak at the Association for Computing Machinery’s Turing Award Celebration conference in San Francisco on June 23, 2017.
While the growth of deep neural networks has helped propel the field of machine learning to new heights, there’s still a long road ahead when it comes to creating artificial intelligence.
That’s the message from a panel of leading machine learning and AI experts who spoke at the Association for Computing Machinery’s Turing Award Celebration conference in San Francisco today.We’re still a long way off from human-level AI, according to Michael I. Jordan, a professor of computer science at the University of California, Berkeley. He said that applications using neural nets are essentially faking true intelligence but that their current state allows for interesting development.
“Some of these domains where we’re faking intelligence with neural nets, we’re faking it well enough that you can build a company around it,” Jordan said. “So that’s interesting, but somehow not intellectually satisfying.”
Those comments come at a…
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