AlexNet, the AI model that started it all, released in source code form - for all to download Written by Tiernan Ray, Senior Contributing Writer March 21, 2025 at 7:46 a.m. PT ...

AlexNet’s lineage and progress show how long the history of generative AI really is, even if it took until today to have the processing power and vast amounts of training data for it to work.

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 students Alex Krizhevsky and Ilya ...

After AlexNet's success, Krizhevsky, Sutskever, and Hinton formed a company called DNNresearch Inc., which Google acquired in 2013. Each team member has followed a different path since then.

AlexNet was a neural network that marked a major breakthrough in a computer's ability to recognize and classify images. By 2012, the theory behind neural networks ...

Before AlexNet, very few machine learning researchers used neural networks. After it, almost all of them would. Google eventually acquired the company started by Hinton, Krizhevsky and Sutskever ...

Why open-sourcing AlexNet matters. By making AlexNet’s original code publicly available, the Computer History Museum and Google are providing a rare window into one of AI’s defining breakthroughs.

Given how huge AlexNet has been for AI, CHM releasing the source code is not only a wonderful nod, but also quite prudent in making sure this information is freely available to all.

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.