Researchers at Harvard have created a groundbreaking metasurface that can replace bulky and complex optical components used ...

For the first time, large language models performed on a par with gold medallists in the International Mathematical Olympiad.

Graph neural networks (GNNs) encounter significant computational challenges when handling large-scale graphs, which severely restricts their efficacy across diverse applications. To address this ...

NFFNet employs a Blind Deconvolution (BD) technique combined with a Deep Residual Shrinkage Network (DRSN) for robust and adaptive feature extraction under noisy conditions. It further integrates ...