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 contest. AlexNet achieved 84.7% accuracy in an academic competition called ImageNET.
The breakthrough result led to a resurgence of interest in deep learning, a subset of machine learning that leverages neural networks.
And as it turns out, AlexNet spurred Nvidia to go “all in” on autonomous vehicles, Huang said. “The moment I saw AlexNet — and we’ve been working on computer vision for a long time — the moment I saw AlexNet was such an inspiring moment, such an exciting moment,” he said.
