World Model – AI algorithms capable of generating simulated environments – representing a cutting edge in machine learning. Today, Microsoft publishes new research Diary nature detail meditationa model that can generate game visual effects and controller input. Surprisingly, it originated from a Microsoft-built training set Bleeding edge.
If, like me, you have completely eliminated the game from memory (or don’t know it exists in the first place), Bleeding edge It is a 4 vs developed by Ninja Theory. Hellblade series. Ninja Theory Stops Update Bleeding edge Less than one One year after releasebut Microsoft included a clause in the game’s Eula, which allows it to record games that play games online. So if you are one of the few people who play Bleeding edgeCongratulations, I think: You helped the company make some impact from business failures.
So, anyway, what is the benefit of the muse? Says Blizzard’s game designer wants to test the idea of a new hero Overwatch 2. Instead of recruiting a team of programmers and artists to create code and assets that the studio may eventually cancel. Iteration is often the most time-consuming (and expensive) part of making video games, so it’s easy to understand why Microsoft is interested in using AI to enhance processes; it provides companies with a way to control the cost of out-of-control development. That’s because, according to Microsoft, Muse excels in what the company calls the persistent model of the world.
“Persistence is the ability of a model to incorporate user modifications (or ‘persist’) user modifications into generated game sequences, such as copying them to characters in game visuals,” said Katya Hofmann, senior principal research manager at Microsoft Research. In other words, Muse can introduce new game elements in real time. In one of the examples shared by Microsoft, you can see the Player character react immediately, as two power is introduced next to them. The model seems to know that the pickup is valuable and players will do their best to get it. Thus, the simulation reflects that, in the process, a convincing real fax is created Bleeding edge match.
According to Fatima Kardarthe company’s vice president of corporate gaming AI at Microsoft, is already using Muse to create “real-time playable AI models trained in other first-party games” and explore how the technology can help it pin old games to aging hardware to new audiences.
Microsoft says the Muse is a “first” generative AI model, but that’s not very true. The world model is not new; in fact, the Muse is not even the first to be trained in Microsoft gaming. In October, the company evacuated Oasis debutcan produce Minecraft level. The Muse does show how fast these models are developing.
That said, the technology still has a long way to go, and the Muse has some obvious limitations. First, the model generates visual effects at a resolution of 300 x 180 pixels and a resolution of about 10 frames per second. Currently, the company is releasing Muse’s weights and sample data and helps researchers understand the system’s capabilities.
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