Deep neural networks trained on large annotated visual datasets have become state-of-the-art models for both visual recognition tasks and predicting neuronal responses in the primate visual stream.

1989: Scientists were able to create algorithms that used deep neural networks, but training times for the systems were measured in days, making them impractical for real-world use.

Geoffrey Hinton, professor at the University of Toronto and engineering fellow at Google Brain, recently published a paper on the Forward-Forward algorithm (FF), a technique for training neural ...

What is machine learning? Karen Hao Machine-learning algorithms are responsible for the vast majority of the artificial intelligence advancements and applications you hear about.

Google's Geoff Hinton was a pioneer in researching the neural networks that now underlie much of artificial intelligence. He persevered when few others agreed.