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

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

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

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

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

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 ...

Nvidia CEO Jensen Huang’s keynote Tuesday at the company’s GTC 2025 conference stuck with tradition and was chock full of announcements. But the company also snuck in a little history lesson. During ...

During the automotive portion of CEO Jensen Huang’s speech, he referred to AlexNet, a neural network architecture that gained widespread attention in 2012 when it won a computer image recognition ...

“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.