Stone to Silicon

Artificial intelligence · 2012

Deep learning (AlexNet)

AlexNet cuts ImageNet error to 15.3%, and deep learning takes over AI.

Alex Krizhevsky, Ilya Sutskever and Geoffrey Hinton trained an eight-layer convolutional network on two GTX 580 GPUs with ReLU and dropout. Its 15.3% top-5 error beat the runner-up's 26.2%. Within three years nearly all of vision, speech and translation moved to deep neural networks.

See it in the living treeWikipedia

Arcs above join it to what it stood on, arcs below to what it led to. The bar places this stretch on the tree's whole timeline.

What it built on 4

What it led to 21

Related measurements

The dashed line marks when it first worked.

Training compute of notable AI models Source: Epoch AI, Notable AI Models (CC BY 4.0)

ML hardware FLOP/s per dollar Source: Epoch AI, ML hardware (CC BY 4.0)