A research team from the Anhui Institute of Optics and Fine Mechanics (AIOFM), the Hefei Institutes of Physical Science of ...

Penny Liang's book, "Understanding Large Models for Humanities Students (1.0)," explains the core technologies of large ...

This paper proposes a deep learning framework F-GCN that integrates multiple wavelet bases, and extracts MI brain electrical ...

Oil wells often dry up far earlier than predicted, leaving companies baffled about the “missing” reserves. A Penn State team tackled this puzzle by harnessing PSC’s Bridges-2 supercomputer, adding a ...

A common problem with oil wells is that they can run dry even when sound-based measurements say there's still oil there. A team from Penn State ...

Remote sensing object detection is a rapidly growing field in artificial intelligence, playing a critical role in advancing ...

Learn more about eLife assessments Scientific progress depends on reliable and reproducible results. Progress can be accelerated when data are shared and re-analyzed to address new questions. Current ...

Talk to any farmer who used to raise pigs, and they’ll more than likely tell you it all changed in 1998. That’s the year that draws memories of agony and financial pain for many. Hog margins bled red, ...

This work presents valuable new data on the role of D-Serine and how it competes with its stereoisomer L-Serine to influence metabolism. The work presents a variety of solid experimental data combined ...

Now, researchers at Chung-Ang University in Korea have developed a new method they call “MoBluRF”. It’s a framework that ...