Clouds have for decades been a bugbear for remote sensing of land surface temperature—one of the most important earth system metrics, used in everything from tracking climate change to predicting ...

In a recent development at Fudan University, a team of applied mathematicians and AI scientists has unveiled a cutting-edge machine learning framework designed to revolutionize the understanding and ...

Researchers from Microsoft Research Asia, Peking University, and Xi'an Jiaotong University have developed a new technique to improve large language models' (LLMs) ability to solve math problems by ...

Dedeepya Yarra's interdisciplinary research interest is the intersection of machine-learning research and cybersecurity, ...

A mathematics professor at The University of Manchester has developed a novel machine-learning method to detect sudden changes in fluid behaviour, improving speed and cost of identifying these ...

Researchers at Google have developed a new AI paradigm aimed at solving one of the biggest limitations in today’s large language models: their inability to learn or update their knowledge after ...

Advances in imaging and machine learning In their previous work, Hong's team, led by Limei Xu at Peking University, made significant strides toward a technique for studying the surface structure of ...

A ripple tells you something happened, but not exactly what. That is the core problem behind a hard class of equations that scientists use when they try to work backward from what they can measure to ...

Kotaro Shimogori's machine learning experience, developed before the current AI boom, focused on solving specific business challenges rather than pursuing technological innovation for its own sake.