Computer Science and Engineering

Two UC Riverside computer scientists are joining federally funded projects that use artificial intelligence to accelerate scientific discovery. Their work will focus on making quantum computing faster and more reliable and building smarter networks for sharing scientific data and research resources.

As AI-generated fake videos become more problematic, UC Riverside computer scientists developed a tool that moves beyond simply identifying whether a video is fake. It also determines which AI system created it.

Two UC Riverside students have received prestigious awards from the American Society for Mass Spectrometry, or ASMS, one of the world’s leading organizations dedicated to advancing mass spectrometry research.

UC Riverside is drawing press attention for its findings on the safety and reliability of AI agents. The ICLR paper, "Just Do It!? Computer-Use Agents Exhibit Blind Goal-Directedness," was led by UCR Ph.D. student Erfan Shayegani, working with CSE faculty members Yue Dong and Nael Abu-Ghazaleh. The work introduces BLIND-ACT, a benchmark of 90 tasks, and evaluates nine frontier models acting as computer-use agents, systems that can click, type, and navigate a desktop to complete tasks on a user's behalf. The team found that these agents consistently exhibit what they term "blind goal