Microsoft Corp. has developed a small language model that can solve certain math problems better than algorithms several times its size. The company revealed the model, Phi-4, on Thursday. The ...

The company mainly trained Phi-4-reasoning-vision-15B on open-source data. The data included images and text-based descriptions of the objects depicted in those images. Before it started training the ...

Credit: Image generated by VentureBeat with FLUX-pro-1.1-ultra Semantic intelligence is a critical element of actually understanding what data means and how it can be used. Microsoft is now deeply ...

Microsoft is launching a research project to estimate the influence of specific training examples on the text, images, and other types of media that generative AI models create. That’s per a job ...

TL;DR: Microsoft's Windows 11 Xbox App includes a Gaming Copilot AI assistant that captures and analyzes PC gaming via screenshots to train its AI models. Users should review and disable these ...

Microsoft releases Phi-4 Reasoning Vision 15B, a multimodal AI model that activates its own thinking mode and handles ...

Microsoft will have its hands full trying to forge a technology that makes it easier to build applications using the varied data representations based on object, relational and XML models. But the ...

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 could be a game-changer for iterative game design.