Thursday, the Computer History Museum (CHM), in collaboration with Google, released for the first time the AlexNet source code written by University of Toronto graduate student Alex Krizhevsky ...

It was developed in 2012 by then University of Toronto graduate students Alex Krizhevsky and Ilya Sutskever and their faculty advisor, Geoffrey Hinton. Hinton is regarded as one of the fathers of ...

The source code for AlexNet is publicly available now in part because Computer History Museum curator Hansen Hsu reached out to its creator Alex Krizhevsky, citing the code’s “historical ...

The source code, originally written by University of Toronto graduate student Alex Krizhevsky, has now been uploaded to GitHub. AlexNet was a neural network that marked a major breakthrough in a ...

“This code underlies the landmark paper ‘ImageNet Classification with Deep Convolutional Neural Networks,’ by Alex Krizhevsky, Ilya Sutskever, and Geoffrey Hinton, which revolutionized the ...

Designed by computer scientist Alex Krizhevsky in collaboration with Ilya Sutskever (who’d go on to found OpenAI) and AI researcher Geoffrey Hinton, AlexNet achieved 84.7% accuracy in an ...

In 2012 Alex Krizhevsky, a researcher at the University of Toronto, kicked off the third golden age of artificial intelligence. By a large margin, he beat the state-of-the-art in automatic labeling of ...

Sutskever, along with Alex Krizhevsky and their Ph.D. supervisor Geoffrey Hinton, created AlexNet, the pioneering neural network for computer vision that won the ImageNet competition in October 2012.