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Image: NVIDIA
Would you believe that artificial intelligence has gotten sophisticated enough to recreate an entire game just by analyzing footage of it? That’s exactly what NVIDIA researcher Seung-Wook Kim and his collaborators pulled off with GameGAN, a powerful new neural network model that’s capable of emulating the original PAC-MAN experience without an underlying engine. The feat was made possible by the magic of generative adversarial networks, which form data by leveraging competing systems.
“This is the first research to emulate a game engine using GAN-based neural networks,” said Kim, the lead author on the project. “We wanted to see whether the AI could learn the rules of an environment just by looking at the screenplay of an agent...
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