Microsoft Research Lab – Asia
News & features
Abstracts: Societal AI with Xing Xie
| Gretchen Huizinga and Xing Xie
New AI models aren’t just changing the world of research; they’re also poised to impact society. Xing Xie talks about Societal AI, a white paper that explores the changing landscape with an eye to future research and improved communication across…
Societal AI: Building human-centered AI systems
| Beibei Shi, Haotian Li, and Xing Xie
Learn about a new white paper on Societal AI, an interdisciplinary framework for guiding AI development that reflects shared human values. It presents key research challenges and emphasizes collaboration across disciplines.
AI is reshaping our world at an unprecedented pace, yet the path from research breakthroughs to industry-ready solutions doesn’t happen overnight. Turning technical innovations into practical tools takes more than cutting-edge algorithms. It also requires a clear understanding of industry…
When earthquakes hit, they often come with little warning. Each year, about 500,000 earthquakes ripple through the Earth—some are felt, many aren’t, but all are part of a complex and dynamic system that geologists are trying to understand. Earthquakes are…
Research Focus: Week of April 7, 2025
In this issue: We introduce a new dataset designed to assist renewable energy infrastructure planners, a new method for denoising MRI imagery, and an AI tool for analyzing distant galaxies. Check out our latest research and other updates.
Awards | Ministry of Education, Culture, Sports, Science and Technology – Japan
Yasuyuki Matsushita receives MEXT Minister of Education, Culture, Sports, Science and Technology Award
Recipients have achieved remarkable results in research and development and promotion of understanding of science and technology.
A key challenge, and opportunity, of large language models (LLMs) is bridging the gap between their training data and the vast amount of unfamiliar information they encounter in real-world applications. Successfully navigating this divide could unlock a new era of…
VidTok introduces compact, efficient tokenization to enhance AI video processing
| Tianyu He, Junliang Guo, and Jiang Bian
The VidTok method can enable AI systems to process and generate videos more effectively. Compact tokenization reduces computational costs while maintaining video quality across a potentially diverse set of applications.
In the news | The National University of Singapore
NUS collaborates with Microsoft Research Asia to advance AI research and cultivate computing talent