An AI agent hacked Stanford's network for 16 hours and outperformed human pros, all while costing far less than their ...

Computing is part of everything we do. Computing drives innovation in engineering, business, entertainment, education, and the sciences—and it provides solutions to complex, challenging problems of ...

Even networks long considered "untrainable" can learn effectively with a bit of a helping hand. Researchers at MIT's Computer ...

Ian (he/him) is a contributing writer and a communications professional. He holds a master’s degree in sociology, and currently, he a is a doctoral candidate completing his dissertation. Brenna ...

During the test, ARTEMIS was allowed to operate on Stanford’s private and public computer science networks for 16 hours. In that time, the AI scanned nearly 8,000 devices, including servers and ...

A team of computer scientists has come up with a dramatically faster algorithm for one of the oldest problems in computer science: maximum flow. The problem asks how much material can flow through a ...

Ranked in the top 10% of computer science programs nationwide, CU Boulder’s Department of Computer Science gives you the skills needed to drive innovation and lead global progress. In this discipline, ...

This seminar is intended to review theoretical, conceptual, and analytic issues associated with network perspectives on communicating and organizing. Cross-listed with IEMS 441-1 & MTS 525-20. The ...

The haze phenomenon seriously interferes the image acquisition and reduces the image quality. Due to many uncertain factors, dehazing is typically a challenge in image processing. The existing deep ...

Our species owes a lot to opposable thumbs. But if evolution had given us extra thumbs, things probably wouldn’t have improved much. One thumb per hand is enough. Not so for neural networks, the ...

Although few-shot learning (FSL) has achieved great progress, it is still an enormous challenge especially when the source and target sets are from different domains, which is also known as ...