Former CMU Computer Science Professor, Turing Winner Honored With Dickson Prize in Science

Hinton's lecture on fast weights explored the interesting computational properties that can be implemented by adding an overlay of weights that adapt and decay rapidly. These weights, both fast and slow, allow neural networks to more closely mimic properties of the brain, where neural activities change rapidly but the connections between neurons change slowly. His talk incorporated research he undertook at CMU in the 1980s and concluded with the limitations of current hardware that does not store weights in memory.