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

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

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 ...

“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.

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 ...

Part of the surge in demand comes from data centers, and their increasing thirst for power comes in part from running increasingly sophisticated AI models. As with all world-shaping developments, what ...

The source code for AlexNet - the neural network developed at the University of Toronto that kickstarted today's artificial intelligence boom and led ...

This package contains the original AlexNet source code as it was in 2012, when it won the ImageNet competition. Geoffrey Hinton, Ilya Sutskever, and Alex Krizhevsky formed DNNResearch soon afterwards ...