AlexNet revolutionized the use of neural networks for computer vision, creating one of the underpinnings of generative AI.

According to Nvidia CEO Jensen Huang, AlexNet, an AI model from over a decade ago, is what sparked the company's investment in autonomous vehicles.

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 ...

Google and the Computer History Museum release AlexNet’s original 2012 source code on GitHub, offering a rare look at a pivotal moment in AI history.

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 ...

Back in 2012, Alex Krizhevsky, Ilya Sutskever, and Geoffrey E. Hinton, AI researchers at the University of Toronto, were busy working on a convolution neural network (CNN) for the ImageNet LSRVC ...

“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 ...