The Computer History Museum (CHM), in partnership with Google, is expected to preserve the source code for AlexNet, the neural network that ignited artificial intelligence (AI) and earned Geoffrey Hinton a 2024 Nobel Prize in Physics.
AlexNet, developed at the University of Toronto in 2012 by Alex Krizhevsky, Ilya Sutskever, and Hinton, marked a turning point in AI by demonstrating the power of deep convolutional neural networks (CNNs) for image recognition. It laid the foundation for modern AI systems, influencing advancements across machine learning, computer vision, and natural language processing.
“This code underlies the landmark paper ImageNet Classification with Deep Convolutional Neural Networks by Alex Krizhevsky, Ilya Sutskever and Geoffrey Hinton, which revolutionized the field of computer vision and is one of the most cited papers of all time,” says Jeff Dean, chief scientist, Google DeepMind and Google Research, of AlexNet. “Google is delighted to contribute the source code for the groundbreaking AlexNet work to the Computer History Museum.”
The company is renowned for safeguarding seminal technology artifacts like Apple II DOS and Adobe Photoshop, and it will now add AlexNet to its archives. The museum’s mission is to “decode technology – the computing past, digital present, and future impact on humanity.”
The Birth of AlexNet
AlexNet’s journey began in 2011 when Sutskever, inspired by the arrival of ImageNet, which is a massive image dataset created by Stanford Professor Fei-Fei Li, persuaded Krizhevsky to fine-tune the network for a year. Using two NVIDIA graphics cards and under Hinton’s guidance, Krizhevsky fine-tuned the network for a year.
Source: https://www.utoronto.ca/news/neural-net-behind-geoffrey-hinton-s-nobel-prize-be-preserved-computer-history-museum
Latest Stories:
