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Teaching Computers to See
Manage episode 397484392 series 3368350
Content provided by iHeartPodcasts and Pushkin Industries and Pushkin Industries. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by iHeartPodcasts and Pushkin Industries and Pushkin Industries or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
Fei-Fei Li is a Stanford computer scientist and the former chief scientist of artificial intelligence/machine learning at Google Cloud. When Li entered the field of AI in the 2000s, researchers were making slow progress, optimizing algorithms to incrementally improve outcomes. Li saw that the problem wasn’t the algorithm, but the size of the datasets being used. So she built a massive database of images called ImageNet. It was a huge breakthrough, and helped lead the emergence of modern AI.
See omnystudio.com/listener for privacy information.
166 episodes
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Manage episode 397484392 series 3368350
Content provided by iHeartPodcasts and Pushkin Industries and Pushkin Industries. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by iHeartPodcasts and Pushkin Industries and Pushkin Industries or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
Fei-Fei Li is a Stanford computer scientist and the former chief scientist of artificial intelligence/machine learning at Google Cloud. When Li entered the field of AI in the 2000s, researchers were making slow progress, optimizing algorithms to incrementally improve outcomes. Li saw that the problem wasn’t the algorithm, but the size of the datasets being used. So she built a massive database of images called ImageNet. It was a huge breakthrough, and helped lead the emergence of modern AI.
See omnystudio.com/listener for privacy information.
166 episodes
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Similar to What's Your Problem?
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