新闻与深度文章
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.
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. Time-series forecasting is a technique used to predict future values based on previously…
This talk discusses how deep learning is enabling us to generate novel and useful biomolecules, allowing researchers and practitioners to better understand biology.
| Gretchen Huizinga, Brendan Lucier, 和 Mert Demirer
Researcher Brendan Lucier and professor Mert Demirer are applying their micro- and macroeconomic expertise, respectively, to forecasting the economic impact of AI. They share how they’re using a task-level breakdown of occupations to help predict the future.
How can generative AI tools represent less common identities and narratives; Can LLMs help players participate in game narratives; Using LLMs to improve geospatial demographic data; A Graph RAG Approach to Query-Focused Summarization; and more.
Research advances are driving real-world impact faster than ever. Episode 2 of Microsoft Research Forum explores how AI is transforming health care and the natural sciences, the intersection of AI and society, and the evolution of foundational AI technologies.
Jianfeng Gao, Sumit Gulwani, Nicole Immorlica, Stefan Saroiu, Manik Varma, and Xing Xie are among the new class of 68 Association for Computing Machinery (ACM) fellows for their transformative contributions to computing science and technology.
Career Award | Society for the Advancement of Economic Theory
Nicole Immorlica, 2023 SAET Economic Theory Fellow
Economic Theory Fellows are selected for their scientific excellence, originality, and leadership; high ethical standards; and scholarly and creative achievement. The primary qualification for fellowship is to have substantially advanced economic theory.
ASL Citizen is the first crowdsourced sign language dataset, advancing the state of the art in sign recognition. The web-based project captured input from people in real-world settings, and from a diverse group of experts, including Deaf team members.