Alex Krizhevsky

Alex Krizhevsky is a Ukrainian-born Canadian computer scientist most noted for his work on artificial neural networks and deep learning. Shortly after having won the ImageNet challenge in 2012 with AlexNet, he and his colleagues sold their startup, DNN Research Inc., to Google. Krizhevsky left Google in September 2017 after losing interest in the work, to work at the company Dessa in support of new deep-learning techniques.[1] Many of his numerous papers on machine learning and computer vision are frequently cited by other researchers.[2] He is the creator of the CIFAR-10 and CIFAR-100 datasets.[3][4]

Alex was a PhD student at University of Toronto under Geoffrey Hinton.[5]

References
  1. Gershgorn, Dave (18 June 2018). "The inside story of how AI got good enough to dominate Silicon Valley". Quartz. Retrieved 23 February 2021.
  2. "Alex Krizhevsky". Google Scholar Citations.
  3. "CIFAR-10 and CIFAR-100 datasets". Retrieved 7 March 2021.
  4. Krizhevsky, Alex (2009). "Learning multiple layers of features from tiny images". CiteSeerX 10.1.1.222.9220. {{cite journal}}: Cite journal requires |journal= (help)
  5. Goldenfein, Jake (31 October 2019). "Monitoring Laws: Profiling and Identity in the World State". doi:10.1017/9781108637657.008. S2CID 243673378. {{cite journal}}: Cite journal requires |journal= (help)
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