jay mcclelland
#222 - Jay McClelland: Neural Networks and the Emergence of Cognition
Jay McClelland is a cognitive scientist at Stanford. Please support this podcast by checking out our sponsors: – Paperspace: https://gradient.run/lex to get $15 credit – Skiff: https://skiff.org/lex to get early access – Uprising Food: https://uprisingfood.com/lex to get $10 off 1st starter bundle – Four Sigmatic: https://foursigmatic.com/lex and use code LexPod to get up to 60% off – Onnit: https://lexfridman.com/onnit to get up to 10% off SUPPORT & CONNECT: – Check out the sponsors above, it's the best way to support this podcast – Support on Patreon: https://www.patreon.com/lexfridman On some podcast players you should be able to click the timestamp to jump to that time.
David Rumelhart Dies at 68; Created Computer Simulations of Perception
David E. Rumelhart, whose computer simulations of perception gave scientists some of the first testable models of neural processing and proved helpful in the development of machine learning and artificial intelligence, died Sunday in Chelsea, Mich. The cause was complications of Pick's disease, an Alzheimer's-like disorder from which he had suffered for more than a decade, his son Karl said. When Dr. Rumelhart, a psychologist, began thinking in the 1960s about how neurons process information, the field was split into two camps that had little common language: biologists, who focused on neurons and brain tissue; and cognitive psychologists, who studied far more abstract processes, like reasoning skills and learning strategies. By starting small -- showing, for instance, that the brain's ability to recognize a single letter was greatly influenced by the letters around it -- Dr. Rumelhart and his colleague Jay McClelland, around 1980, built computer programs that roughly simulated perception. Later, he devised an algorithm that allowed computer programs to learn how to perceive.
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