Carver Mead Says Neuromorphic Efficiency Can Help AI

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This episode was published on October 4, 2024.

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from EE Times Current · host EE Times On Air

UCL’s Dr. 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 from the Czech Technical University in Prague and Prof. Ralph Etienne-Cummings of Johns Hopkins University.

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Carver Mead Says Neuromorphic Efficiency Can Help AI

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How long is this episode of EE Times Current?

This episode is 1 hour and 5 minutes long.

When was this EE Times Current episode published?