"Brains, Sex and Machine Learning" by Geoffrey Hinton (SOLD-OUT)
This event is now sold-out. Please contact lorraine [dot] torpy [at] mcgill [dot] ca (Lorraine Torpy) for information about the waiting list.
Research and International Relations, in collaboration with the Killam Trusts, invites you to “Brains, Sex and Machine Learning,” the Killam Trusts Lecture in Engineering by Prof. Geoffrey Hinton of the University of Toronto.
What can the role of sex in evolution teach us about artificial intelligence?
Prof. Geoffrey Hinton, the 2012 Killam Prize Winner in Engineering, says that the same principles helping organisms adapt to their environment can also make computers better at perception. It’s a lesson that has the potential to transform even common online experiences, including how websites recommend products and how photo albums recognize faces.
Please join us as we welcome Prof. Hinton for an eye-opening talk on machine learning. A cocktail reception will follow the lecture.
About the Killam Prizes
Every year the Killam Program offers awards to outstanding Canadian scholars working in the humanities, social sciences, natural sciences, health sciences and engineering. These awards are among Canada’s most distinguished research awards. They are made possible through the Killam Trusts by a bequest of Mrs. Dorothy J. Killam, and a gift she made before her death in 1965. Recipients are chosen by a committee of 15 eminent Canadian scholars appointed by the Canada Council.
About Geoffry Hinton
Prof. Geoffrey Hinton’s contributions to the development of several of the most successful machine learning algorithms have had, among other things, a direct impact on how we use the Internet today. His algorithms have had a strong influence on psychology and neuroscience. They are also being used for a huge variety of applications including searching and recommending products on the web, interpreting images, improving the yield of chemical plants, and recognizing speech.
He directs the program in Neural Computation and Adaptive Perception for the Canadian Institute for Advanced Research, and his research has contributed to both science and engineering. His 2007 Google Techtalk, an introduction to his recent research on deep learning, has been viewed over 200,000 times on YouTube.
Click here to read Prof. Hinton’s full bio.