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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.
Research Forum Brief | June 2024
| Jiang Bian, Adam Fourney, Tanuja Ganu, Daniela Massiceti, Jacki O'Neill, Sunayana Sitaram, and Tian Xie
In this forum episode, researchers dive into the importance of globally inclusive and equitable AI, share updates on AutoGen and MatterGen, explore novel use cases for AI, and more.
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.
Research Focus: Week of May 13, 2024
Welcome to Research Focus, a series of blog posts that highlights notable publications, events, code/datasets, new hires and other milestones from across the research community at Microsoft. Large language models (LLMs) have shown remarkable performance in generating text similar to…
Abstracts: March 21, 2024
| Chang Liu and Gretchen Huizinga
Senior Researcher Chang Liu discusses M-OFDFT, a variation of orbital-free density functional theory (OFDFT) that leverages deep learning to help identify molecular properties in a way that minimizes the tradeoff between accuracy and efficiency.