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Glossary

Deep learning

Deep learning is the use of neural networks with many layers. Each layer builds on the one below it, so a network looking at photos might detect edges in early layers, shapes in middle layers and whole objects near the top. The approach needs large datasets and fast hardware, which became available around 2010, and it now underlies speech recognition, image recognition and chatbots.

Why it comes up

Hinton, Bengio and LeCun shared the 2018 Turing Award for it, and the 2012 AlexNet result on Fei-Fei Li's ImageNet dataset is the usual starting point for the current wave of AI.

People and milestones

Where it comes up on Frontier Minds

Sources