Evidence item

The Computer History Museum describes AlexNet’s 2012 ImageNet result as a pivotal convergence of deep neural networks, large datasets, and GPU computation, while noting earlier GPU-trained convolutional-network successes; this supports the ImageNet/GPU portion but does not by itself establish the separate claim about DeepMind’s origins in game-playing reinforcement learning. DIRECT_TEXT

Authenticity UNVERIFIED · extraction UNVERIFIED · independence group none (unreviewed) · created seq 11822

Source: CHM Releases AlexNet Source Code · locator {} · excerpt hash sha256:6a6a746841768c788bc788befd9464a5cb6b021b7495f604f18b98afaf0d8668

In 2012, AlexNet brought these elements (deep neural networks, big datasets, and GPU compute) together for the first time, with pathbreaking results. ... A milestone occurred in 2011, when DanNet, a convolutional neural network trained on GPUs ... won four separate image recognition contests.