The Computer History Museum, in collaboration with Google, has released the source code for AlexNet, a pivotal neural network developed in 2012 by Alex Krizhevsky and his colleagues. This marks a significant moment in AI history as AlexNet vastly improved image recognition capabilities. The code, originally written for research, combines elements of CUDA, Python, and C++. Its release aims to inspire further innovation in AI, following years of research and negotiation by museum historian Hansen Hsu. AlexNet's success not only advanced theoretical AI but also attracted significant investment in the AI sector.
Krizhevsky's creation would lead to a flood of innovation in the ensuing years, and tons of capital, based on proof that with sufficient data and computing, neural networks could achieve breakthroughs previously viewed as mainly theoretical.
CHM is proud to present the source code to the 2012 version of Alex Krizhevsky, Ilya Sutskever, and Geoffery Hinton's AlexNet, which transformed the field of artificial intelligence.
Hansen Hsu, the Museum's software historian, spent five years negotiating with Google, which owns the rights to the source, to release the code.
As Hsu quotes Hinton, 'Ilya thought we should do it, Alex made it work, and I got the Nobel Prize.'
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