Muse is the Xbox -generative AI model for the idea of ​​gameplay

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Microsoft Research introduced Muse, the first AI generative AI model designed for the idea of ​​gameplay.

Fatima Cardar, Corporate Vice President of Gaming AI in Microsoft, said in a blog post that we hear AI transform our lives daily. How will it appear in the game?

For the Xbox, the principles that push our approach to AI are to create more value for players and game creators, bring more games to more people around the world, and admit that the development of a great game will always be based on the vision and vision of Creator and artistry, Cardard said.

“We believe that generative AI has the potential to improve this creativity and to unlock new opportunities. We are glad to announce a generative breakthrough by AI published today in the Nature magazine and announced by Microsoft Research, which demonstrates this potential – including the opportunity to make the older games available for future generations of new devices and in new ways.

In partnership with the theory of Ninja Studios on Xbox Games, Microsoft Research has developed a world and human action model (Wham), called Muse: first of its kind generative AI model trained at the Ninja theory of the theory of Ninja. The theory of Ninja and Microsoft Research are based in Cambridge, which made the collaboration easily and led to the use of a bleeding edge for this study.

What is revolutionary about Muse is his detailed understanding of the world of 3D game, including the physics of the game and how the game responds to the actions of the player controller. This allows the model to create a consistent and diverse gameplay presented by AI, demonstrating a major step towards generative AI models that can empower game creators.

Microsoft Research initially thought about exploring how AI generative models could maintain new experiences by focusing on developing AI capabilities that could allow game developers to IDEATE and expand their work in new ways. To achieve this, they interviewed 27 world -class game creators – from the Indians at Aaa Game Studios – to make sure the study is shaped by the people who will use it. In order to allow other research teams and game developers to explore the model and experiment with its capabilities, muse, weight on the model, sample data and an interactive interface, Azure Ai Foundry is already available.

What does muse mean to games

Although it is still early, this study of the model presses the boundaries of what the team considers to be possible.

“We already use Muse to develop a real -time AI model trained in other games on the first countries, and we see the potential for this job up to a day benefit both players and game creators: from allowing us to allow us Let’s revive nostalgic games to a faster creative creative idea, ”Cardard said.

Today, countless classic games related to aging hardware are no longer played by most people. Thanks to this breakthrough, Microsoft examines Muse’s potential to take older Back Catalog catalog games and optimize them for any device.

“We believe that this can radically change the way we save and experience classic games in the future and make them accessible to more players. Imagine that favorite games lost in time and hardware progress can one day play on any Xbox screen is an exciting opportunity for us, “Cardard said.

Carr added: “Another opportunity we are exploring is how a muse can help the game teams prototyping new gameplay experiences during the creative process and introduce new content – to take games of games already love and enable our developers To bring new experiences to enjoy or even allow you to participate in the creation process. We will create opportunities for people to participate in this study, starting with short interactive AI Game Experience to try Copilot Labs soon.
There is still so much for us to find and we can’t wait to share more. “

Xbox approach to generative AI

How the muse improved over time with more data.
How the muse improved over time with more data.

Xbox innovations with AI and machine learning for decades, including in partnership with Microsoft Research – is constantly working to find ways to make players and use new computing capabilities to revive creative visions. Although AI is not new to games, Microsoft is already observing the acceleration of generative AI studies, both in Microsoft and throughout the broadly technological community.

“We believe it is important to shape how these new generative breakthroughs of AI can support our community to create industries and games in a joint and responsible way,” Cardard said.

For Xbox, game makers will always be the center of AI’s common effort, she said. Microsoft believes that there is room for traditional game development and future generative technologies AI that serve as an extension
To creative work and offer new experiences, she said.

“As part of this, we have empowered creative leaders here in Xbox to decide on the use of generative AI. There will be no solution for every game or project and the approach will be based on the creative vision and goals of each team, “Cardard said.

What is ahead?

Microsoft created a Muse, a Genai model for a game idea.
Microsoft created a Muse, a Genai model for a game idea.

Microsoft focuses on how AI can handle barriers and rubbing to play and develop games.

“This means that we will share our innovation of AI products earlier, providing the opportunities for players and creators to experiment and build new features and opportunities for AI with us. This allows us to make sure that our AI innovations are dealing with real problems and add a new value to creating or playing with Xbox, Cardard said.

In order to develop tools that are used in ways that are beneficial for everyone, Cardard said that innovation will continue to be built on a commitment to responsible AI and dedication to the development of AI solutions led by six
Principles: Justice, reliability and safety, confidentiality and security, inclusion, transparency and accountability.

“This year you can expect more exciting messages about how we use AI to empower game creators and provide the best possible experience for players on all devices.

Meanwhile, Katja Hofmann, Senior Chief Research Manager and host of the Microsoft Research Game Intelligence team, said in a blog post that the Nature magazine publishes Muse’s research, which is a generative AI video game model that can generate visual Game images, controller actions or both. The company says this is the first model in the world and human actions (Wham).

Microsoft Research Game Intelligence (opens in New Tab) and Tearchable Ai Experiens Teams have created Muse in collaboration with Ninja Studios theory on Xbox Games, creator of Hellblade Games.

To help other researchers explore these models and upgrade on our work, Microsoft is an open source of weights and sample data and provides a WHAM -available conceptual prototype that provides a visual interface for interacting with WHAM models and many ways To drive the models. Developers can learn and experiment with the weights, sample data and Wham demonstrator at the Azure Ai Foundry.

In the study, the team focuses on exploring the opportunities that models like Muse should effectively support human artists.

“I am incredibly proud of our teams and a cornerstone that we have achieved, not only by showing the rich structure of the world of the game, which a model like a muse can learn as you can see in the video demo, but also even more important is that it demonstrates how to develop research insights in support of the creative applications of the generative models of AI, “Hoffman said.


 
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