There are bound to be critics, but deep learning “godfather” and head Google researcher Geoffrey Hinton says his latest contribution to the artificial intelligence, or AI, field could be just as important as his earlier, pioneering work.
“History is going to repeat itself,” Hinton, who is also a University Professor Emeritus at the University of Toronto and the chief scientific adviser at the Vector Institute for artificial intelligence research, told the New York Times this week.
“I think.”
Called a “capsule network,” Hinton’s new approach aims to make it possible for machines to easily recognize objects from different angles or perspectives – something the neural networks Hinton pioneered several years ago can’t do without a lot of practice.
The contribution is outlined in a recent paper co-authored with Sara Sabour, a fellow Google researcher who did her master’s in computer science at U of T.