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

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

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 ...

GenAI may be accelerating a developmental transition in how learners conceptualize programming itself.

Abstract: Aiming at the problem that existing knowledge graph-based recommendation algorithms do not fully utilize the interaction information between users and items, this paper proposes a ...

AI"s inability to continually learn remains one of the biggest problems standing in the way to truly general purpose models. Might it soon be solved?

Blockchain is a promising solution for secure data sharing in the Internet of Things (IoT) networks, but existing systems ...

ACM, the Association for Computing Machinery, has named 71 new Fellows. ACM Fellows are registered members of the society and were selected by their peers for achieving remarkable results through ...

Abstract: Sharding technology is widely regarded as an effective way to solve blockchain scalability limitations, such as lower throughput and longer delay time. However, sharding encounters ...

Grok 3 has caught up with its competitors, but is it enough to convert ChatGPT users? Credit: Matteo Della Torre / NurPhoto / Getty Images Now that Grok 3 from Elon Musk's xAI is officially live, how ...

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

A new artificial intelligence (AI) method called BioPathNet helps researchers systematically search large biological data networks for hidden connections – from gene functions and disease mechanisms ...