Daniel Petras and Mingxun Wang recognized for innovative research and emerging leadership

Satellite imagery and soil databases can help farmers and researchers understand conditions across agricultural land, but working with those datasets often requires specialized software, computing resources, and technical expertise. A team led by UC Riverside researchers built FutureFarmNow to make that information easier to access and use.

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 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.