Machine Learning: How Did We Get Here?

What is the relationship between neural network approaches in machine learning, and real neural networks in the brain? Today's guest Jay McClelland is a cognitive scientist who has spent decades studying this question.

Jay is Lucie Stern Professor of Psychology and (by Courtesy) of Linguistics and Computer Science and Director of the Center for Mind, Brain, Computation and Technology at Stanford University. He discusses his 50 year journey modeling cognition in the brain with artificial neural networks, and his role in the 1980s emergence of neural networks in machine learning.

Creators and Guests

Host
Tom Mitchell
Tom Mitchell is the University Founders Professor at Carnegie Mellon University, a Digital Fellow at the Stanford Digital Economy Lab, and the author of Machine Learning, a foundational textbook on the subject.
JM
Guest
Jay McClelland
Lucie Stern Professor, Stanford University
Producer
Matty Smith
Writer/director/editor from Los Angeles, with experience writing and directing scripted television and national commercials. Mixed media producer with hands-on experience in all areas of production.

What is Machine Learning: How Did We Get Here??

Tom Mitchell literally wrote the book on machine learning. In this series of candid conversations with his fellow pioneers, Tom traces the history of the field through the people who built it. Behind the tech are stories of passion, curiosity, and humanity.

Tom Mitchell is the University Founders Professor at Carnegie Mellon University, a Digital Fellow at the Stanford Digital Economy Lab, and the author of Machine Learning, a foundational textbook on the subject. This podcast is produced by the Stanford Digital Economy Lab.