External News
June 08, 2026
AI consortium names UCR doctoral student as a 'rising star'
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.
May 26, 2026
Filtering out humanity
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.
May 13, 2026
Blind Ambition: AI agents can turn tasks into digital disasters
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.
May 11, 2026
Assistant Professor receives NSF CAREER Award for AI reliability research
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.
March 20, 2026
UCR community urged to use Google AI tools
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
January 21, 2026
Making AI smarter without more training data
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.
November 21, 2025
UCR leads $8 million effort for dynamic computer networks
UCR leads $8 million effort for dynamic and secure computer networks to benefit military needs and civilian applications.
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