Microsoft Research
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Awards | American Physical Society
Frank Noé, American Physical Society Fellow
The AI for Science partner research manager received this distinction for the development of machine learning methods for advancing the physical sciences, in particular for the many-body sampling problem and the electronic structure problem.
Microsoft Research Forum Episode 4: The future of multimodal models, a new “small” language model, and other AI updates
Explore multimodal & small language models, plus advanced benchmarks for AI evaluation. Microsoft researchers are working on breakthroughs in weather prediction, materials design, even a new kind of computer for AI inference and hard optimization problems.
This talk discusses Aurora, a cutting-edge foundation model that offers a new approach to weather forecasting that could transform our ability to predict and mitigate the impacts of extreme events, air pollution, and the changing climate.
Research Focus: Week of July 15, 2024
Advancing time series analysis with multi-granularity guided diffusion model; An algorithm-system co-design for fast, scalable MoE inference; What makes a search metric successful in large-scale settings; learning to solve PDEs without simulated data.
Collaborators: Sustainable electronics with Jake Smith and Aniruddh Vashisth
| Gretchen Huizinga, Jake Smith, and Aniruddh Vashisth
Printed circuit boards are abundant—in the stuff we use and in landfills. Researcher Jake Smith and professor Aniruddh Vashisth discuss the development of vitrimer-based PCBs that perform comparably to traditional PCBs but have less environmental impact.
Microsoft Research Forum Episode 3: Globally inclusive and equitable AI, new use cases for AI, and more
“We’re at the very early stage of generative AI and the impacts it will have on work. This is a fast-moving field, and there’s an immense opportunity to take control of the agenda and build truly globally equitable AI systems”,…
Tian Xie introduces MatterGen, a generative model that creates new inorganic materials based on a broad range of property conditions required by the application, aiming to shift the traditional paradigm of materials design with generative AI.
In the news | Nature
Superfast Microsoft AI is first to predict air pollution for the whole world
An artificial intelligence (AI) model developed by Microsoft can accurately forecast weather and air pollution for the whole world — and it does it in less than a minute. The model, called Aurora, is one of a slew of AI…
Introducing Aurora: The first large-scale foundation model of the atmosphere
| Wessel Bruinsma, Megan Stanley, Ana Lucic, Richard Turner, and Paris Perdikaris
Aurora, a new AI foundation model from Microsoft Research, can transform our ability to predict and mitigate extreme weather events and the effects of climate change by enabling faster and more accurate weather forecasts than ever before.