Alex Krizhevsky is a Ukrainian-born Canadian computer scientist most noted for his work on artificial neural networks and deep learning.
In 2012, Krizhevsky, Ilya Sutskever and their PhD advisor Geoffrey Hinton, at the University of Toronto,[1] developed a powerful visual-recognition network AlexNet using only two GeForce NVIDIA GPU cards.
The transition to GPUs opened the way to the development of advanced AI models.
Krizhevsky and Sutskever sold their startup, DNN Research Inc., to Google, shortly after winning the contest.
[1] Many of his numerous papers on machine learning and computer vision are frequently cited by other researchers.