Carver Mead Says Neuromorphic Efficiency Can Help AI
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Carver Mead Says Neuromorphic Efficiency Can Help AI
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About this listen
In this episode of Brains and Machines, UCL’s Sunny Bains talks parallelism, neural net efficiency and risk taking with Caltech’s Prof. Carver Mead. Now an emeritus professor, Mead has been instrumental in the development of chip design, and was one of the first employees of Noyce and Moore, which later became Intel. He’s also one of the founders of the field of neuromorphic engineering. Discussion follows with Dr. Giulia D’Angelo Marie Curie Fellow at The Czech Technical University in Prague, and Professor Ralph Etienne-Cummings of Johns Hopkins University.
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