Microsoft Research

Meet BioEmu-1 from Microsoft Research. This deep learning model can generate thousands of protein structures per hour, unlocking new possibilities for protein scientists and drug discovery and research. The post Exploring the structural changes driving protein function with BioEmu-1 appeared first on Microsoft Research.

Today Nature published Microsoft’s research detailing our WHAM, an AI model that generates video game visuals & controller actions. We are releasing the model weights, sample data, & WHAM Demonstrator on Azure AI Foundry, enabling researchers to build on the work. The post Introducing Muse: Our first generative AI model designed for gameplay ideation appeared first on Microsoft Research.

Microsoft announced the creation of the first topoconductor and first QPU architecture with a topological core. Dr. Chetan Nayak, a technical fellow of Quantum Hardware at the company, discusses how the breakthroughs are redefining the field of quantum computing. The post Ideas: Quantum computing redefined with Chetan Nayak appeared first on Microsoft Research.

Limited resources, geography, and economic factors present barriers to quality education for many students in India. Learn how Microsoft Research is collaborating with Physics Wallah to make AI-based tutoring more accurate, reliable, and affordable. The post Microsoft Research and Physics Wallah team up to enhance AI-based tutoring appeared first on Microsoft Research.

ExACT combines Reflective-MCTS and Exploratory Learning to improve AI agents’ decision-making, enabling test-time compute scaling. Learn how these methods help agents refine strategies for state-of-the-art performance and improved computational efficiency. The post ExACT: Improving AI agents’ decision-making via test-time compute scaling appeared first on Microsoft Research.

Advances in AI are driving meaningful real-world impact. Principal Researcher Akshay Nambi shares how his passion for tackling real-world challenges across various domains fuels his work in building reliable and robust AI systems. The post Ideas: Building AI for population-scale systems with Akshay Nambi appeared first on Microsoft Research.

Advances in low-bit quantization techniques enable efficient operation of LLMs on resource-constrained edge devices. Discover how innovations like T-MAC, Ladder, and LUT Tensor Core improve computational efficiency and enhance hardware compatibility. The post Advances to low-bit quantization enable LLMs on edge devices appeared first on Microsoft Research.

In this issue: A new approach to multimodal pretraining for remote sensing; Managed-retention memory for the AI era; Improving detection of macular telangiectasia type 2; Generalizing symbolic automata. The post Research Focus: Week of January 27, 2025 appeared first on Microsoft Research.

Struggles with programming languages helped research manager Shan Lu find her calling as a bug hunter. She discusses one bug that really haunted her, the thousands she’s identified since, and how she’s turning to LLMs to help make software more reliable. The post Ideas: Bug hunting with Shan Lu appeared first on Microsoft Research.

In this edition: Privacy enhancements for multiparty deep learning; using smaller, open-source models to provide relevance judgments; new tool uses AI, data to automate innovation and development; Yasuyuki Matsushita named IEEE 2025 Computer Society Fellow. The post Research Focus: Week of January 13, 2025 appeared first on Microsoft Research.