Microsoft Research has created Muse, a first-of-its-kind generative AI model that can generate a game environment based on visuals or players’ controller actions. It understands a 3D game world and game physics and can react to how players interact with a game.

Over 1 billion images and controller actions from players of Bleeding Edge were used as training data for Muse, a new genAI model from Microsoft that

Microsoft Research has unveiled Muse, a new AI model capable of generating video game visuals and controller actions. Microsoft's Game Intelligence and Teachable AI Experiences teams worked with Xbox Games Studios' Ninja Theory to develop Muse.

Microsoft’s Muse is built on the World and Human Action Model (WHAM) and is intended to enhance developers’ creativity.

Despite a decade of AI growth, Cook says, there's no method yet to measure what exactly an AI model has captured and what it has not. Muse is able to provide grainy gifs of one fairly simple video game based on seven years of footage, but it is not a solution for holding everything about a game or every possible outcome of what players could do.

Microsoft introduces Muse, its first generative AI model for video game development, enhancing creativity and efficiency in game design. Here’s how it works and what it means for the future of gaming.

Microsoft Research collaborated with Xbox studio Ninja Theory to develop Muse. They used gameplay data from Bleeding Edge spanning over 7 years. It learned to

Microsoft has developed an AI model called the World and Human Action Model (WHAM), aka Muse, which it's using to replace human gamers in video-game development. But is the future of gaming pure AI?

Microsoft Research has introduced Muse, a new AI model that can create controller actions and images for video games. On