Data Science, AI & Robotics News

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.

In the recently published paper, I School Associate Professor David Bamman reveals much about what is known and remains to be known about the large language model (LLM) fueling ChatGPT. 

Combining the field of economics with statistics and computer science, Michael Jordan’s lecture aims to provide a broader conceptual foundation for emerging real-world artificial intelligence systems.

Five UC Berkeley faculty members will join the AI Institute for Agent-based Cyber Threat Intelligence and Operation (ACTION).

Sergey Levine delivered the second of four Distinguished Lectures on the Status and Future of AI.