Alex Krizhevsky

Ukrainian-Canadian computer scientist and PhD student of Geoffrey Hinton, who as first author of the AlexNet paper in 2012 demonstrated that deep convolutional networks trained on GPUs could dramatically outperform all other approaches on the ImageNet benchmark.

Built and trained AlexNet — the deep convolutional neural network that won ImageNet 2012 by a margin so large it ended debate about whether deep learning worked — triggering the GPU-training paradigm that defines AI infrastructure today.