Geoff Hinton, the Father of Deep Learning

Published: June 20, 2016, 9 a.m.

In this interview, Geof Hinton, Distinguished Emeritus Professor at the University of Toronto, discusses World Class IT Principle One, People, and Principle Two, Infrastructure. Some of the topics discussed include: His day to day work as a professor at the University of Toronto and as a distinguished researcher at Google His thoughts on the current progress of the development of true artificial intelligence What inspired him to pursue his PhD in Artificial Intelligence when the topic was less prominent than it is today The founding of the Neural Computation and Adaptive Perception Program (NCAP) and how he brought these world class thinkers together The outcomes of his work at the NCAP His perspectives on non-profit work being a major player within the Artificial Intelligence space How much crossover there is between his work at the University of Toronto and his work at Google DeepMind, the importance of it, and how contests like the recent AlphaGo are important in the field of Artificial Intelligence His perspectives on the risk vs. opportunity within AI Whether the government has a role to play in pending job losses due to artificial intelligence His thoughts on the recent trend of skipping university to move straight into entrepreneurship