Aditi Krishnapriyan receives Department of Energy Early Career Award

Aditi Krishnapriyan, a faculty scientist in Berkeley Lab’s Applied Mathematics and Computational Research Division (AMCR) and assistant professor at UC Berkeley, has been awarded a prestigious 2025 U.S. Department of Energy Early Career Research Program (ECRP) award.

Three UC Berkeley EECS faculty named 2026 Sloan Fellows

Three early-career faculty in the UC Berkeley Department of Electrical Engineering and Computer Sciences (EECS) – Yuan Cao, Sarah E. Chasins, and John Wright – have been awarded prestigious 2026 Sloan Research Fellowships. The fellowship is granted annually to “honor exceptional researchers at U.S. and Canadian educational institutions whose creativity, innovation and research accomplishments make them stand out as the next generation of leaders,” according...

UC Berkeley EECS professors elected to the National Academy of Engineering

Ken Goldberg, Kam Lau, and Felix Wu, faculty members in the UC Berkeley Department of Electrical Engineering and Computer Sciences (EECS), have been elected to the National Academy of Engineering (NAE) 2026 Class of Fellows. The honor, awarded to 158 inductees this year, is among the highest professional distinctions awarded to engineers.

Five UC researchers receive CITRIS-CDSS Innovation Fellowship and AIC Awards

The Center for Information Technology Research in the Interest of Society and the Banatao Institute (CITRIS) at the University of California and the UC Berkeley College of Computing, Data Science, and Society (CDSS) announced the recipients of the 2025 CITRIS-CDSS Innovation Fellowship and AIC Awards.

UC Berkeley experts monitoring AI developments in 2026

In just a few years, AI has gone from a tech novelty to a society-altering force. It has revolutionized scientific research, classrooms and workplaces. As a global leader in the development of AI technology as well as research into the ethics, policies and practices around its use, UC Berkeley’s experts are at the forefront of this rapidly changing technology. UC Berkeley News asked some of...

UC Berkeley EECS professors elected to the National Academy of Inventors

Two UC Berkeley professors – Ana Claudia Arias and Tahir Ghani, both faculty members in the Department of Electrical Engineering and Computer Sciences (EECS) – have been elected to the National Academy of Inventors (NAI) 2025 Class of Fellows. The honor, awarded to 185 inductees this year, marks the highest professional distinction awarded solely to inventors.

New modeling tool provides United Nations with opportunity to achieve environmental goals

At the Dec. 5 meeting of the Executive Committee of the Multilateral Fund for the Implementation of the Montreal Protocol, United Nations, the Multilateral Fund Secretariat and researchers at UC Berkeley debuted an open source modeling tool that provides global policymakers with unprecedented analytical and computing power to reach environmental and climate goals. The Eric and Wendy Schmidt Center for Data Science & Environment (Schmidt...

UC Berkeley and UCSF researchers release top-performing AI model for medical imaging

UC Berkeley and UCSF researchers today released Pillar (Pillar-0), an open-source AI model that analyzes medical images and recognizes conditions with an unprecedented degree of diagnostic accuracy. Unlike existing tools that are limited to a handful of conditions or models primarily designed for 2D images, Pillar-0 interprets 3D volumes directly and can recognize hundreds of conditions from a single CT or MRI exam.

UC Berkeley experts discuss legal and economic questions about AI technologies

A recent panel discussion at UC Berkeley considered current legal challenges for developers of generative AI (GenAI), as well as economic impacts of the technology. AI-powered chatbots such as ChatGPT, Claude and Llama have seen a proliferation of users in recent years. The companies developing these GenAI products have also been hit with lawsuits that challenge, among other concerns, the training of proprietary large language...

UC Berkeley’s introductory machine learning course gets optimized for the AI age

As artificial intelligence technology continues advancing at a breakneck pace, faculty at UC Berkeley are optimizing computer science courses to keep undergraduate students informed and prepared for changing careers in the tech industry and beyond. Narges Norouzi and Joseph Gonzalez are faculty instructors for this fall’s offering of the CS 189: Introduction to Machine Learning course. More than 400 undergraduate students majoring in computer science...