Data Science, AI & Robotics News

UC Berkeley experts evaluate the potential of AI and technology involved in a new fleet of self-driving cars arriving in San Francisco.

Cathryn Carson reflects on the transformative potential of AI while highlighting its valuable lessons on both proactive and cautionary measures for shaping our future.

California agencies will collaborate with UC Berkeley and Stanford University to study the impacts of generative AI on the state and its workforce.

Three University of California and UC Berkeley institutions will host a fall speaker series to inform and engage researchers, students and others in discussions about AI.

UC Berkeley researchers launch a pioneering interdisciplinary training program that will blend criminal justice and computer science to help reduce systemic inequities in the criminal legal system.

UC Berkeley experts taught ChatGPT how to quickly create datasets on difficult-to-aggregate research about certain materials that can be used to fight climate change.

UC Berkeley experts taught ChatGPT how to quickly create datasets on difficult-to-aggregate research about certain materials that can be used to fight climate change.

Berkeley Haas Professor Sameer Srivastava and co-authors have developed a deep learning model that can identify where and when prescient ideas first emerge.

Berkeley’s Institute for Data Science, Graduate School of Journalism, and partners will collect, curate and make accessible records that a 2019 state law unlocked for the public.

Dubbed “the Woodstock of Hackathons,” the event was hosted by Berkeley’s premiere startup accelerator, Berkeley SkyDeck, and Cal Hacks, a nonprofit that runs collegiate hackathons.

To Celeste Kidd the answer is simple: It’s dangerous and perhaps the most concerning aspect of generative AI’s rapid expansion. 

A new study shows that, even lacking good error correction, there are ways to mitigate errors that could make quantum computers useful today.