Microsoft Research

As agentic AI ushers in a new era marked by tool expansion, systems are converging, and complexity is rising. Microsoft Research explores the Model Context Protocol (MCP) as a new standard for agent collaboration across fragmented tool ecosystems. The post Tool-space interference in the MCP era: Designing for agent compatibility at scale appeared first on Microsoft Research.

RenderFormer, from Microsoft Research, is the first model to show that a neural network can learn a complete graphics rendering pipeline. It’s designed to support full-featured 3D rendering using only machine learning—no traditional graphics computation required. The post RenderFormer: How neural networks are reshaping 3D rendering appeared first on Microsoft Research.

Datacenter memory and network limits are restraining AI system performance. MOSAIC uses microLEDs and a wide-and-slow optical architecture to deliver faster, longer, more reliable, and energy efficient connections that could transform AI cluster designs. The post Breaking the networking wall in AI infrastructure  appeared first on Microsoft Research.

Crescent helps make digital IDs private by preventing tracking across uses while letting users only disclose what’s necessary from their credentials. The post Crescent library brings privacy to digital identity systems appeared first on Microsoft Research.

Recently, we released a paper Working with AI: Measuring the Occupational Implications of Generative AI that studied what occupations might find AI chatbots useful, and to what degree. The paper sparked significant discussion, which is no surprise since people care deeply about the future of AI and jobs–that’s part of why we think it’s important to study these topics. The post Applicability vs. job displacement: further notes on our recent research on AI and occupations appeared first on Microsoft Research.

For the series finale, Peter Lee, Carey Goldberg, and Dr. Zak Kohane compare their predictions to insights from the series’ most recent guests, including experts on AI’s economic and societal impact, leaders in AI-driven medicine, and doctors in training. The post Coauthor roundtable: Reflecting on healthcare economics, biomedical research, and medical education appeared first on Microsoft Research.

MindJourney can enable AI to navigate and interpret 3D environments from limited visual input, potentially improving performance in navigation, planning, and safety-critical tasks. The post MindJourney enables AI to explore simulated 3D worlds to improve spatial interpretation appeared first on Microsoft Research.

Dion is a new AI model optimization method that boosts scalability and performance over existing leading methods by orthonormalizing only a top rank subset of singular vectors, enabling more efficient training of large models such as LLaMA-3 with reduced overhead. The post Dion: the distributed orthonormal update revolution is here appeared first on Microsoft Research.

Former Washington State Secretary of Health Dr. Umair Shah and Mayo Clinic CEO Dr. Gianrico Farrugia explore how healthcare leaders are approaching AI when it comes to public health, care delivery, the healthcare-research connection, and the patient experience. The post Reimagining healthcare delivery and public health with AI appeared first on Microsoft Research.

Microsoft is pioneering a vision for a self-adapting AI system that can adapt to the dynamic nature of scientific discovery, promoting deeper, more refined reasoning in complex scientific domains. The post Self-adaptive reasoning for science appeared first on Microsoft Research.