IT Blog

If you watched 50,000 games of Pac-Man, you’d probably be pretty good at drawing out what you saw. Nvidia’s GameGAN artificial intelligence model, however, was able to recreate the classic dot-chomping game for its 40th birthday from scratch without a traditional game engine in a matter of days. 

Generative adversarial networks, or GANs, are made up of two competing neural networks. In the case of GameGAN, the model mimics a computer game engine, which is a first, Nvidia said in its blog post about the project.   

Researchers from the chipmaker’s AI Research Lab in Toronto used the company’s DGX systems to train…