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

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

That's thanks to a collaborative effort between the Computer History Museum and Google. The source code, originally written ...

It was the shot heard 'round the world - a neural network that finally fulfilled decades of theoretical promise.

Part of the surge in demand comes from data centers, and their increasing thirst for power comes in part from running ...

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

In partnership with Google, the Computer History Museum (CHM), the leading museum exploring the history of computing and its impact on the human experience, today announced the public release and long ...

AlexNet is an artificial neural network created to recognize the contents of photographic images. It was developed in 2012 by then University of Toronto graduate ...

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 academic ...

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