Artificial intelligence archive

Photo of EECS professor Alberto Sangiovanni-Vincentelli.

Q&A: Alberto Sangiovanni-Vincentelli on co-founding Cadence and Synopsys

September 20, 2023

DIGITIMES Asia: Berkeley Engineering professor recounts establishing the world’s two largest electronic design automation companies, shares innovative projects that he is pursuing

Photo of a whale's tail poking above the ocean's surface.

Can we talk to whales?

September 6, 2023

The New Yorker: Berkeley engineer Shafi Goldwasser explores how artificial intelligence may allow us to speak to other species

Novel brain implant helps paralyzed woman speak using a digital avatar

August 23, 2023

Berkeley engineers explain how advances in AI could help restore natural communication

Image of Berkeley Campanile in an interactive 3D graphic flyover, made with Nerfstudio.

Researchers create open-source platform for Neural Radiance Field development

July 25, 2023

Plug-and-play framework makes it easier to collaborate and develop interactive 3D scenes

Image of woman with binary code superimposed on her face.

Stuart Russell: Generative AI tools are quickly ‘running out of text’ to train themselves on

July 14, 2023

Business Insider: UC Berkeley professor of electrical engineering and computer sciences concerned that AI’s strategy behind training large language models is “starting to hit a brick wall”

Collage of stormy sky raining down zeros and ones, a weather prediction model and a satellite dish.

‘Nowcasting’ model enables forecasting of extreme precipitation

July 12, 2023

AI tool for analyzing short-term weather conditions may help save lives

As Big Tech invests in virtual reality, studies highlight user privacy risks

June 13, 2023

CDSS: Berkeley engineers find that AR and VR users can be identified using just minutes of their head and hand movements

An illustration depicting a look inside a chip's brain power, created with AI.

Ken Goldberg: Let’s embrace the creative possibilities of AI

June 9, 2023

Berkeley Blog: Professor of Industrial Engineering and Operations Research shares his view that engaging with AI’s unique form of creativity could lead to unexpected new discoveries

Photo of Gridscope mounted to a power pole in a snowy, mountainous area. (Photo courtesy Gridware)

CITRIS Foundry alumni innovate for a more sustainable world

June 1, 2023

CITRIS: Startups founded by Berkeley engineers work to combat climate change, improve energy efficiency and develop more sustainable solutions

Stuart Russell receives ACM’s AAAI Allen Newell Award

May 4, 2023

EECS professor is recognized for fundamental achievements in AI

Still image of EECS professor Sergey Levine discussing how advances in offline reinforcement learning can enable machine learning systems to learn to make more optimal decisions from data.

A path to resourceful autonomous agents

May 1, 2023

In latest AI lecture, EECS professor Sergey Levine discusses how advances in offline reinforcement learning can enable machine learning systems to learn to make more optimal decisions from data

ChatGPT architect, Berkeley alum John Schulman on his journey with AI

April 20, 2023

Schulman talks about why he chose Berkeley for graduate school, the allure of towel-folding robots, and what he sees for the future of artificial general intelligence

When will cars be fully self-driving?

April 18, 2023

Wall Street Journal: UC Berkeley EECS professor Alexandre Bayen and other experts weigh in on what the future holds for autonomous vehicles

Photo of an artistic rendering of the brain, created using wire and light.

New Neurotech Collider Lab to harness interdisciplinary synergy for breakthrough innovations

April 17, 2023

BBH: The Bakar BioEnginuity Hub and Sutardja Center for Entrepreneurship & Technology are partnering to create a new interdisciplinary space for world-changing breakthroughs in neurotech

Deep RL at scale: Fleet of robots sorts waste in office buildings

April 13, 2023

Researchers show how deep reinforcement learning enables robots to improve continually in the real world, while doing an actual job