Mathematicians are still trying to understand fundamental properties of the Fourier transform, one of their most ubiquitous ...

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...

The Kennedy College of Science, Richard A. Miner School of Computer & Information Sciences, invites you to attend a doctoral dissertation proposal defense by Nidhi Vakil, titled: "Foundations for ...

Abstract: Cyber-attacks have surged in intensity and complexity, often outpacing existing detection systems. Advanced attack prediction algorithms can help mitigate these threats, reducing their ...

Researchers at Shanghai Jiao Tong University have made a groundbreaking discovery in the field of Temporal Knowledge Graphs (TKGs), challenging the ...

The 2024 Nobel Prize in Chemistry was recently granted to David Baker, Demis Hassabis and John M. Jumper, renowned for their pioneering works in protein design.

SM-GNN prunes multi-view GNNs to pure propagation, cutting training time while outperforming prior MKGC accuracies on two ...

A new artificial intelligence (AI) method called BioPathNet helps researchers systematically search large biological data ...

SAN FRANCISCO, Nov 20 (Reuters) - IBM (IBM.N), opens new tab and Cisco Systems (CSCO.O), opens new tab on Thursday said they plan to link quantum computers over long distances, with the goal of ...

The prediction of the properties of crystal materials has always been a core issue in materials science and solid-state physics. With the rapid development of computer simulation techniques and ...

Messages transmitted between two computers located about 380 miles apart would form the basis of what would become the internet. When you purchase through links on our site, we may earn an affiliate ...