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Will AI obsolete game engines?

Forty years ago, PAC-MAN appeared in arcades in Japan and munched a path to global stardom.  Now the retro classic has been reborn and delivered courtesy of AI. Trained on 50,000 episodes of the game, a new AI model created by Nvidia Research called GameGAN, can generate a fully functional version of PAC-MAN—without an underlying game engine. That means that ...

Jon Peddie

Forty years ago, PAC-MAN appeared in arcades in Japan and munched a path to global stardom.  Now the retro classic has been reborn and delivered courtesy of AI. Trained on 50,000 episodes of the game, a new AI model created by Nvidia Research called GameGAN, can generate a fully functional version of PAC-MAN—without an underlying game engine. That means that even without understanding a game’s fundamental rules, AI can recreate the game with convincing results. A generative adversarial network (GAN) is a machine learning (ML) model in which two neural networks compete with each other to become more accurate in
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