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Boltzmann Machines: Statistical Physics meets Neural Networks

Join 2024 Nobel Laureate Geoffrey Hinton for a compelling lecture on his critical role in early AI.

Prof. Geoffrey Hinton

In this talk Hinton will explore his invention of the Boltzmann machine, an early example of an unsupervised deep learning model. Hinton’s work has helped lead to advancements in a wide range of areas, such as speech recognition and object classification, that greatly impact our lives today.

A University Professor Emeritus of computer science at the University of Toronto, Hinton is internationally renowned as a pioneer in the field of deep learning as a mode of artificial intelligence. His many accolades include the Companion of the Order of Canada (2019).

The Martin Lecture series is held annually, welcoming top thinkers and researchers in Astronomy & Astrophysics, Ecology & Evolutionary Biology, Physics, and Public Policy to the University of Toronto.

Event series  The Martin Lecture in Physics