Researchers have developed a deep learning-based approach that significantly streamlines the accurate identification and classification of two-dimensional (2D) materials through Raman spectroscopy. In comparison, traditional ...
"Killer electrons" that travel at nearly light speed inside Earth's Van Allen belts—the zone that surrounds the planet and traps energetic charged particles—pose a major threat to equipment in space by causing malfunctions ...
An innovative planar spoof plasmonic neural network (SPNN) platform capable of directly detecting and processing terahertz (THz) electromagnetic signals has been unveiled by researchers at City University of Hong Kong (CityUHK) ...
Nuclear fusion could be an ideal solution to mankind's energy problem, guaranteeing a virtually limitless source of power without greenhouse gas emissions. But there are still huge technological challenges to overcome before ...
Researchers have made significant progress in the field of artificial intelligence by applying deep learning techniques to automate the detection and classification of crop leaf diseases.
The AI tool AlphaFold has been improved so that it can now predict the shape of very large and complex protein structures. Linköping University researchers have also succeeded in integrating experimental data into the tool. ...
In the rapidly advancing field of computational biology, a review explores the transformative role of deep learning techniques in revolutionizing protein structure prediction. The review, published in MedComm—Future Medicine, ...
The close relationship between AI and highly complicated scientific computing can be seen in the fact that both the 2024 Nobel Prizes in Physics and Chemistry were awarded to scientists for devising AI for their respective ...
Medieval people have a reputation for being superstitious—and many of the supernatural phenomena found in the pages of medieval chronicles, miracle stories and romances are still alive in modern culture. Think ghosts, werewolves, ...
Kory Burns, a professor at the University of Virginia School (UVA) of Engineering and Applied Science, is a materials science researcher who is using artificial intelligence to improve materials characterization. He and his ...
