Microsoft Research – Emerging Technology, Computer, and Software Research
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AI interactions can be iterative and complex. Learn how the Semantic Telemetry project at Microsoft Research is developing a new data science approach to understand human-AI interactions and their value. The post Semantic Telemetry: Understanding how users interact with AI systems appeared first on Microsoft Research.
Host Peter Lee, Microsoft Research president, discusses the motivation behind the new series and the GPT-4 encounter that helped him view the tech not only as a potential tool for improving healthcare but a chance to reexamine what it means to care for people. The post The AI Revolution in Medicine, Revisited: An Introduction appeared first on Microsoft Research.
Our recent study in Nature Scientific Reports identified key challenges in the biomedical data lifecycle and offered 7 actionable recommendations. The post Advancing biomedical discovery: Overcoming data challenges in precision medicine appeared first on Microsoft Research.
Explore Magma, a foundation model that can empower AI assistants to interpret environments, plan actions, and execute tasks across digital and physical spaces. Now available, learn how it advances the field of agentic AI. The post Magma: A foundation model for multimodal AI agents across digital and physical worlds appeared first on 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.
How do you generate and test materials that don’t exist yet? Researchers Tian Xie and Ziheng Lu share the story behind MatterGen and MatterSim, AI tools poised to transform materials discovery and help drive advances in energy, manufacturing, and sustainability. The post Ideas: AI for materials discovery with Tian Xie and Ziheng Lu appeared first on Microsoft Research.
Microsoft researchers introduce MatterGen, a model that can discover new materials tailored to specific needs—like efficient solar cells or CO2 recycling—advancing progress beyond trial-and-error experiments. The post MatterGen: A new paradigm of materials design with generative AI appeared first on Microsoft Research.
Announcing AutoGen 0.4, fully reimagined library for building advanced agentic AI systems, developed to improve code quality and robustness. Its asynchronous, event-driven architecture is designed to support dynamic, scalable workflows. The post AutoGen v0.4: Reimagining the foundation of agentic AI for scale, extensibility, and robustness appeared first on Microsoft Research.
AIOpsLab is an open-source framework designed to evaluate and improve AI agents for cloud operations, offering standardized, scalable benchmarks for real-world testing, enhancing cloud system reliability. The post AIOpsLab: Building AI agents for autonomous clouds appeared first on Microsoft Research.
As the “biggest election year in history” comes to an end, researchers Madeleine Daepp and Robert Osazuwa Ness and Democracy Forward GM Ginny Badanes discuss AI’s impact on democracy, including Daepp and Ness’s research into the tech’s use in Taiwan and India. The post Ideas: AI and democracy with Madeleine Daepp and Robert Osazuwa Ness appeared first on Microsoft Research.
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