A collection of some of John Hopfield’s lectures and interviews. 2020Physics View of the Mind and Neurobiology - Lex Fridman Podcast Duration: 1hr 13 minsInterview with John "whose life's work weaved beautifully through biology, chemistry, neuroscience, and physics." Audience: Anyone interested in a conversation with John Hopfield about science, technology, philosophy and consciousness. 2019Mind From Machine - The Franklin Institute Duration: 4 minsPresentation about John and his work at the Franklin Institute ceremony where he was awarded the Benjamin Franklin Medal in Physics. The “machine learning” revolution that has brought us self-driving cars, facial recognition and robots who learn can be traced back to John Hopfield, whose career is as fascinating as the technologies his ideas helped foster.Audience: Anyone interested in science. 2016Emergence, dynamics, and behaviour - University of Cambridge Duration: 40 minutes A talk given at the Symposium to celebrate the work of Professor Sir David MacKay FRS at Cambridge University, Cambridge UKAudience: physicists, engineers, computer scientists, and neurobiologists 2014NIPS Conference Montreal 2014 - Posner lecture Duration: 50 minutesA Posner lecture given at the NIPS conference in Montreal.Audience: computer scientists, electrical engineers, computational neurobiologists 1998Biological Dynamics of the Mind - Princeton University Duration: 35 min. Talk given at Princeton University in an Alumni SymposiumNon-mathematical presentation for a diverse audience, beginning with the idea of emergent behavior... and ending with psychological associative memory. 1990John Hopfield - Aspen Center for Physics Duration: 30 minutes A short talk and conversation with Nick DeWolf arranged and edited by DeWolf for public television broadcast (channel 12, Aspen CO)Audience: anyone interested in science or computers 1988Artificial Neural Networks and Speech Processing - Bellcore Duration: ~ 1 hr + considerable discussion A colloquium at Bellcore (a communications technology company transiently formed in the breakup of AT&T in 1984) Audience: non-specialist engineers and scientists interested in the possibility of useful 'neural networks'.Hopfield is introduced by John Worlock. 1983Collective Properties of Neuronal Networks - Xerox PARC, Palo Alto, CA with Corporate Associates of the American Institute of Physics Duration: 47 minutes The “machine learning” revolution that has brought us self-driving cars, facial recognition and robots who learn can be traced back to John Hopfield, whose career is as fascinating as the technologies his ideas helped foster. Audience: anyone interested in science or computers
