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 ...

How Microsoft’s Muse Works. Muse (also known as the World and Human Action Model, or WHAM) was trained on human gameplay data ...

as will the clarity of the image. Object permanence, meanwhile, is more complicated. One thing that solves all of these problems, though? Building a video game traditionally. Microsoft has identified ...

Now, thanks to the efforts of researchers using the Multi Unit Spectroscopic Explorer (MUSE) in Chile, we have the clearest image yet of one of these cosmic highways, following the recent ...

Based on a room description, Muse calls up appropriate images. Photo courtesy of Wayfair. With Muse, consumers may select from a trending look like “dining with a coastal vibe,” provide a general ...

Albert Maignan's painting of "Green Muse" (1895) shows a poet succumbing to absinthe's mind-altering effects. Disclaimer: AAAS and EurekAlert! are not responsible for the accuracy of news releases ...

Microsoft researchers recently introduced Muse, a generative AI model designed to extrapolate interactive video game scenarios from images, clips, and recorded player input. The tool aims to ...

Muse is based on the World and Human Action Model (WHAM) and has been trained on more than one billion images and controller actions from the Xbox game 'Bleeding Edge', equating to over seven ...