An AI model from over a decade ago sparked Nvidia’s investment in autonomous vehicles

Nvidia CEO Jensen Huang’s keynote at the company on Tuesday GTC 2025 Conference Tradition was stuck with Tiha and was full of announcements. However, the company also fired a little history lessons.

During the automotive part of his speech, Huang mentioned Alexnett, a neural network architecture that won the computer image recognition competition in 2002. Elias Sutskver (who is going to look for OpenAI) and AI researcher Geoffrey Hinton designed computer scientist Alex Crezovsky, achieving 84.7% of the accuracy in an academic competition called Alexnet Imagenet.

The breakthrough result leads the resurgence of interest in deep education, a subset of machine learning that earns Neural networkThe

It turns out that Alexnette encouraged Nvidia to go “All In” on autonomous vehicles, how Huang said.

“The moment I saw Alexnette – and we’ve been working on a computer vision for a long time – the moment where I saw Alexnette was an exciting moment,” he said on stage. “He said on stage. “It has decided to make all the decisions to make our self-driving cars.

The NVIDIA has been partnership with numerous automaker, automobile suppliers and technology agencies that developed autonomous vehicles. This is the latest, an Assistance to extend with GM’sIt was announced this afternoon.

Tesla and autonomous vehicles developers use NVDIA GPU for data centers like Wave and Wemo. Other companies tap Nvidia Public goods Creating a factory “digital twin” to test the manufacturing processes and design vehicles. In the me, MercedesVolvo, ToyotaAnd the zoo uses the Nvidia Drive Orin Computer System-on-chip, which is based on the Chipmeaker’s Nvidia Ampere Super Computer Architecture. Toyota and others are also hiring Nvidia’s protection-centric operating system, Driveo.

Upasht: Nvidia DNA is automotive – and more specifically, automatic driving – is embedded in the industry.