Muse
Microsoft has unveiled Muse, a groundbreaking generative AI model designed to revolutionize gameplay ideation. Developed in collaboration with Ninja Theory, Muse is a World and Human Action Model (WHAM) trained on data from the game Bleeding Edge. This AI model possesses a comprehensive understanding of 3D game environments, including physics and player interactions, enabling it to generate consistent and diverse gameplay sequences. Muse can produce game visuals and predict controller actions, facilitating rapid prototyping and creative exploration for game developers. By analyzing over 1 billion images and actions, Muse demonstrates the potential to assist in game preservation by recreating classic titles for modern platforms. While still in the early stages, with current outputs at a resolution of 300×180 pixels, Muse represents a significant advancement in integrating AI into the game development process, aiming to enhance, not replace, human creativity.
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Muse
Muse is an innovative AI model developed by Sudowrite, a Los Angeles-based startup, specifically designed for fiction writers. Unlike general-purpose AI tools, Muse focuses exclusively on crafting narrative-driven prose, offering advanced storytelling capabilities and the ability to generate chapter-length content with a high degree of creativity and coherence. Trained with insights from over 20,000 authors, Muse aims to produce unique, evocative writing free of clichés, embracing the full spectrum of human experience, including complex characters, morally gray scenarios, and vivid descriptions, without filters or forced happy endings. Integrated into Sudowrite’s platform, it serves as a collaborative partner for authors, enhancing their creative process with features like gripping openings, believable dialogue, and substantial text generation, all while maintaining the writer’s individual style.
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MuseNet
We’ve created MuseNet, a deep neural network that can generate 4-minute musical compositions with 10 different instruments and can combine styles from country to Mozart to the Beatles. MuseNet was not explicitly programmed with our understanding of music, but instead discovered patterns of harmony, rhythm, and style by learning to predict the next token in hundreds of thousands of MIDI files. MuseNet uses the same general-purpose unsupervised technology as GPT-2, a large-scale transformer model trained to predict the next token in a sequence, whether audio or text. Since MuseNet knows many different styles, we can blend generations in novel ways. We’re excited to see how musicians and non-musicians alike will use MuseNet to create new compositions! Choose a composer or style, an optional start of a famous piece, and start generating. This lets you explore the variety of musical styles the model can create.
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MuseClass
MuseClass makes it fast and easy to create, distribute, and grade assignments. All in one place. Students can record video directly from their smartphone using the MuseClass mobile app. After submitting their best take, you'll be able to see and hear them on the grading screen in your teacher portal. Students can record audio directly from their smartphone using the MuseClass mobile app. After submitting their best take, you'll be able to listen to them on the grading screen in your teacher portal. When doing in-person assessments, simply enter your scores into MuseClass to keep all your students' grades and feedback in one place. The gradebook makes it easy to keep track of student progress. Upload worksheets for students to complete on their own. When students are done, they simply take a picture using the MuseClass mobile app to submit their assignment for you to review.
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