The rapid growth of artificial intelligence and the increasing complexity of neural network models are driving demand for efficient hardware architectures that can address power-constrained and ...

With potential to make powerful AI systems more affordable and accessible, UC Santa Barbara computer scientist Arpit Gupta has earned two major research awards from Google to support his development ...

Graph theory has emerged as an influential tool for communication network design and analysis, especially for designing hybrid network topologies for local area networks (LANs). LAN topologies often ...

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...

While artificial intelligence (AI) poses many risks for networks of all sizes, it also highlights the pitfalls of traditional network management in addressing real-time demands and unanticipated ...

A hunk of material bustles with electrons, one tickling another as they bop around. Quantifying how one particle jostles others in that scrum is so complicated that, beginning in the 1990s, physicists ...