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Machine Learning: How Did We Get Here?

Machine Learning: How Did We Get Here?

Released: 2026-03-02
© 2026 Stanford Digital Economy Lab. All rights reserved.
Machine Learning: How Did We Get Here? - QR Code
3 Episodes
Audio
Listen on Apple Podcasts
3 Episodes
Audio
Listen on Apple Podcasts
Released: 2026-03-02
© 2026 Stanford Digital Economy Lab. All rights reserved.
Most Recent Episode
A University and Corporate Perspective with Yann LeCun

A University and Corporate Perspective with Yann LeCun

Tom sits down with Yann LeCun, the Jacob T. Schwartz Professor of Computer Science at NYU, and Executive Chairman of Advanced Machine Intelligence Labs. Yann is co-winner of the 2018 ACM Turing Award for his research in neural network learning. Yann tak
Time: 1:20:41
Tom sits down with Yann LeCun, the Jacob T. Schwartz Professor of Computer Science at NYU, and Executive Chairman of Advanced Machine Intelligence Labs.
Yann is co-winner of the 2018 ACM Turing Award for his research in neural network learning. Yann takes us from his days as a postdoc working with Geoffrey Hinton, through his days as Chief AI Scientist at Facebook/Meta. His simultaneous roles as a Professor at NYU and Chief AI Scientist at a large AI provider give Yann a unique perspective on how technological advances and commercial forces combined to get us to today's state of the art.
Episode ID: 1000752431038
GUID: 8b4db9d7-6512-467c-afc9-aaa336ba12db
Release Date: 02/03/2026, 09:00:00

Description

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.

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