The labs help students and researchers understand computing’s history and ...

A new computational method at ORNL doubles processing speed and cuts memory use for hyperspectral plant imaging, accelerating ...

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 ...

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 ...

For half a century, computing advanced in a reassuring, predictable way. Transistors—devices used to switch electrical ...

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

Researchers at Shanghai Jiao Tong University have made a groundbreaking discovery in the field of Temporal Knowledge Graphs ...

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.

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

As Louisiana prepares to implement a statewide computer science graduation requirement, students at the Louisiana School for ...

Space and time aren’t just woven into the background fabric of the universe. To theoretical computer scientists, time and space (also known as memory) are the two fundamental resources of computation.

Dr. Shaw and Dr. Hilton teach software engineering at Carnegie Mellon University. For decades, computer science students have been taught a central skill: using computers to solve problems. In ...