Alex Krizhevsky (born 4 March 1986) is a Soviet-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-branded GPU cards.[2] This revolutionized research in neural networks. Previously neural networks were trained on CPUs. The transition to GPUs opened the way to the development of advanced AI models.[2]
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