On Thursday, Google and the Computer History Museum (CHM) jointly released the source code for AlexNet, the convolutional ...

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.

There are many stories of how artificial intelligence came to take over the world, but one of the most important developments is the emergence in 2012 of AlexNet, a neural network that ...

That's thanks to a collaborative effort between the Computer History Museum and Google. The source code, originally written by University of Toronto graduate student Alex Krizhevsky, ...

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 ...

This kind of AI was actually being dabbled with as far back as the 1950's, though it wasn't until 2012 that we saw it kick off the current generation of machine learning with AlexNet; an image ...

“Google is delighted to contribute the source code for the groundbreaking AlexNet work to the Computer History Museum,” said Jeff Dean, chief scientist, Google DeepMind and Google Research.

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 for AlexNet - the neural network developed at the University of Toronto that kickstarted today's artificial intelligence boom and led to a Nobel Prize - will be preserved by the ...