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 ...

ith 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 of ...

The application of neural network models to semiconductor device simulation has emerged as a transformative approach in the field of electronics. These models offer significant speed improvements over ...

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 ...

Spoiler: there isn’t just one network definition. Learn everything you need to assess various network types, topologies, and architectures. The simple network definition: a system that links other ...

Discover the key types of network traffic and their role in optimizing performance plus real-world examples to see how they impact data flow. Identifying network traffic types is vital because it ...