Microsoft Research Lab – New England
项目
Dataset and Benchmark for Interpreting STEM Articles
This project develops techniques that enable AI to use computing infrastructure more efficiently. The goals are to maintain predictive accuracy while reducing carbon emissions, whether embodied in manufactured hardware, or produced from electricity usage when green energy is not available.
Project Resolve is a multistakeholder collaboration that brings Microsoft Research’s social science, engineering, and computer science expertise to the service of the Healthy Community Hub, a coalition of Black and Latinx community-based organizations in North Carolina, to advance health equity…
Teaching AI to devise and implement algorithms The goal of this project is to teach AI to devise and implement better algorithms than human programmers. This is done in a self-play loop using language models (such as GPT) to generate…
EconML is an open source Python package developed by the ALICE team at Microsoft Research that applies the power of machine learning techniques to estimate individualized causal responses from observational or experimental data. The suite of estimation methods provided in EconML…
Markets match individuals to scarce resources or to each other. By designing the rules and infrastructure that govern markets, we can guide participants to optimal outcomes. In the process, we circumvent a wide range of market failures. If you are…
Microsoft Research New England aims to build the accessibility systems of the future. In particular, we are focused on building systems to better support sign language users and low-vision readers. Accessibility is a major concern for many people with disabilities.…
Water managers in the western United States rely on long-term forecasts of temperature and precipitation to prepare for droughts and other wet weather extremes. To improve the accuracy of these long-term forecasts, the U.S. Bureau of Reclamation (USBR) and the…
Project Ratio tracks and maps the news ecosystem from start to finish: production, distribution, consumption, absorption, and impact of news.