Lecture given in Stockholm December 2024. John talks about the major influences in his scientific career, from having two physicist parents, a childhood of taking things apart to see how they work, to doing research in condensed matter physics, learning neuroscience, and developing the 'Hopfield Model' for an artificial neural network.   ‘The choice of problems is the primary determinant of what one accomplishes in science’. 

Audience: A newspaper reader interested in following this narrative of how science is done, and in exploring John’s view that ‘How mind emerges from brain is to me the deepest question posed by our humanity’. 

Duration: 1hr 13 mins

Interview 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. 

Duration: 4 mins

Presentation 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. 

Duration: 40 minutes
 

A talk given at the Symposium to celebrate the work of Professor Sir David MacKay FRS at Cambridge University, Cambridge UK
Audience: physicists, engineers, computer scientists, and neurobiologists

Duration: 50 minutes

A Posner lecture given at the NIPS conference in Montreal.

Audience: computer scientists, electrical engineers, computational neurobiologists

Duration: 35 min.
 

Talk given at Princeton University in an Alumni Symposium. Non-mathematical presentation for a diverse audience, beginning with the idea of emergent behavior... and ending with psychological associative memory.

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

Duration: ~ 1 hr + considerable discussion
 

A colloquium at Bellcore (a communications technology company transiently formed in the breakup of AT&T in 1984). Hopfield is introduced by John Worlock.
 

Audience: non-specialist engineers and scientists interested in the possibility of useful 'neural networks'.

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