Carver Mead Says Neuromorphic Efficiency Can Help AI

UCL’s Dr. Sunny Bains (https://www.sunnybains.com/) talks parallelism, neural net efficiency and risk taking with Caltech’s Prof. Carver Mead (http://www.carvermead.caltech.edu/research.html). 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 (https://www.linkedin.com/in/giuliadangelo/) from the Czech Technical University in Prague and Prof. Ralph Etienne-Cummings (https://engineering.jhu.edu/faculty/ralph-etienne-cummings/) of Johns Hopkins University.