And Schafmeister isn’t the only chemist turning to modular methods of synthesis to explore vast regions of chemical space. It ...

Abstract: This article develops a unified distributed method for solving two classes of constrained networked optimization problems, i.e., optimal consensus problem and resource allocation problem ...

Most existing point cloud upsampling methods have roughly three steps: feature extraction, feature expansion and 3D coordinate prediction. However, they usually suffer from two critical issues: (1) ...

FRISCO, TEXAS – Far-right activists are seizing on a new example of the America they fear. It’s a booming, Texas city home to the Dallas Cowboys’ practice facility and a PGA golf resort. The activists ...

David J. Silvester, a mathematics professor at the University of Manchester, has developed a novel machine-learning method to detect sudden changes in fluid behavior, improving speed and the cost of ...

I make short, to-the-point online math tutorials. I struggled with math growing up and have been able to use those experiences to help students improve in math through practical applications and tips.

The study, “Integration of phospho-signaling and transcriptomics in single cells reveals distinct Th17 cell fates,” was published in Cell Reports. In the study, first author Seth Fortmann, M.D., Ph.D.

A new study by Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) shows that training large language models (LLMs) for complex, autonomous tasks does not require massive datasets.

The 2020 Nobel Prize in Chemistry was awarded for the development of CRISPR/Cas9, a method also known as "gene scissors," which enables researchers to better understand how human cells function and ...

LiDAR (Light Detection and Ranging) is an essential device for capturing the depth information of objects. Unmanned aerial vehicles (UAV) can sense the surrounding environment through LiDAR and image ...