The emergence of these large learned models is also changing the nature of AI research in fundamental ways.Changing the Nature of AI Research Read More
We believe that deep networks excel because they exploit a particular form of compositionality in which features in one layer are combined in many different ways to create more abstract features in the next layer.
A key question for the future of AI is how do humans learn so much from observation alone?
Communications of the ACM, June 2018, Vol. 61 No. 6, Pages 13-14
By Chris Edwards
“The secret to deep learning’s success in avoiding the traps of poor local minima may lie in a decision taken primarily to reduce computation time.”Deep Learning Hunts for Signals Among the Noise Read More