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 graduate student Erfan Shayegani has been named a 2026 MLCommons Rising Star, an honor recognizing emerging researchers whose work is helping shape the future of artificial intelligence (AI) and computing systems.

Is the internet losing its soul? A collaborative study by UC Riverside computer and social scientists suggests so. As artificial intelligence increasingly answers our online questions with quick summaries and polished explanations, we may be gaining efficiency while losing something distinctly human in the process.

Computer scientists at UC Riverside have identified troubling flaws in a new generation of artificial intelligence (AI) agents designed to take over routine computer chores while users are away — sorting emails, organizing files, analyzing data, and handling other everyday digital tasks that might otherwise consume hours. The researchers found that the automated agents can become dangerously fixated on completing assignments without recognizing when their actions are harmful, contradictory, or simply irrational.

Dr. Qian Zhang, assistant professor of computer science and engineering at the University of California, Riverside, studies the software layers where those failures occur. Her work recently earned a National Science Foundation (NSF) CAREER Award, one of the agency’s highest honors for early-career faculty.

UC Riverside’s Information Technology Solutions (ITS) team is encouraging the campus community to prioritize data security by using a growing number of university-vetted artificial intelligence (AI) platforms, such Gemini and Notebook LM 

UCR researchers develop a method called Test-Time Matching, an approach that significantly improves how AI systems interpret relationships between text and images, especially when presented with unfamiliar combinations.