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Home > News > Artificial intelligence

Artificial intelligence archive

Hany Farid

EECS professor Hany Farid and I School Ph.D. students featured on PBS Nova

April 17, 2024
School of Information: The episode, “A.I. Revolution,” covers the dangers of deepfakes — and how easily they can be created
Categories AI & robotics, Computer science, Faculty, Security & privacy, Students
Francisca Vasconcelos, a doctoral student in UC Berkeley’s Department of Electrical Engineering and Computer Sciences.

Francisca Vasconcelos chosen as Paul and Daisy Soros New American fellow

April 17, 2024
CDSS: EECS doctoral student to receive up to $90,000 through merit-based program for immigrants, children of immigrants
Categories AI & robotics, Computer science, Honors & awards, Quantum, Students
A pink robot hand and a pink human hand reach for each other against a blue background.

How to keep AI from killing us all

April 9, 2024
UC Berkeley researchers: Companies should not be allowed to create advanced AI systems until they can prove they are safe
Categories AI & robotics, Computer science, Industry, Public policy, Security & privacy
Illustration of a robot arm, vials, a laptop and a beaker on a desk facing the window.

How scientists are accelerating chemistry discoveries with automation

April 8, 2024
Berkeley Lab: New statistical-modeling workflow, developed by MSE professor Kristin Persson’s group, may help advance drug discovery and synthetic chemistry
Categories AI & robotics, Materials science, Research
EU AI Act panel (from left to right): Yiaway Yeh, Deborah Raji, Stuart Russell, Gerard de Graaf and Pamela Samuelson.

UC Berkeley summit tackles AI governance, trust, ethical tech

March 21, 2024
School of Information: Computer scientists Stuart Russell and Deborah Raji discuss European Union AI Act
Categories AI & robotics, Computer science, Public policy, Security & privacy
Still image from video of AI-trained surgical robot that was able to sew six stitches all on its own.

Watch this robot as it learns to stitch up wounds

March 5, 2024
MIT Technology Review: Berkeley researchers’ AI-trained surgical robot was able to sew six stitches on its own — and has lessons for robotics as a whole
Categories AI & robotics, Health
Photo of Nika Haghtalab, assistant professor of electrical engineering and computer sciences.

EECS professor named Schmidt Sciences AI2050 Early Career Fellow

March 4, 2024
CDSS: Nika Haghtalab among cohort that will conduct ambitious artificial intelligence research to benefit society
Categories AI & robotics, Computer science, Faculty honors, Honors & awards
Photo of Berkeley researchers' newly trained, human-sized robot walking out of Sather Gate.

Human-sized robot taught itself to walk and balance, then strolled Berkeley’s streets

December 19, 2023
SFGATE: Berkeley researchers used billions of simulations and reinforcement learning to teach the robot how to move
Categories AI & robotics, Computer science, Electrical engineering, Mechanical engineering
Photo illustration showing a collage of mathematical images, a person using a smart phone, and insurrectionists.

Disinformation nation: What can we do to crack the code?

November 20, 2023
Berkeley researchers “probe the corrosive effects of algorithms, machine learning and other exotic technologies” and offer possible solutions
Categories AI & robotics, Computer science, Industry, Public policy, Security & privacy
Image of photonics.

Researchers develop design tool to optimize quantum optics circuits in silicon

November 13, 2023
New machine learning-based optimization method for nonlinear and quantum optics may open the door to large-scale communication and quantum computing applications
Categories AI & robotics, Computer science, Computing, Quantum
Illustration showing a magnifying glass on planet Earth, which is surrounded by rockets in the air, trees and scientific images. A team at UC Berkeley has created a new statistical technique that allows researchers to safely use the predictions obtained from machine learning to test scientific hypotheses. This image shows an artistic interpretation of the technique, called prediction-powered inference, which has been generated by the DALL-E AI system.

How to use AI for discovery — without leading science astray

November 9, 2023
Berkeley researchers present new statistical technique for safely using predictions obtained from machine learning models to test scientific hypotheses
Categories AI & robotics, Electrical engineering
Photo of the exterior of Calvin Lab, home to the Simons Institute for the Theory of Computing, UC Berkeley.

Simons Institute for the Theory of Computing receives $25M matching pledge

October 19, 2023
Simons Institute: Gift from SFI will help support ongoing innovation and research into theoretical computing
Categories AI & robotics, Computing
Artist's rendering of NASA's Ames Research Center and Moffett Field showing the future location (gray buildings stretching from center to right) of the Berkeley Space Center. The center will be an innovation hub encouraging collaborations among UC Berkeley faculty and students, private companies, NASA scientists and engineers and Silicon Valley’s tech industry. NASA Ames' iconic Hangar One, which once housed airships, is at left.

Berkeley Space Center at NASA Ames to become innovation hub for new aviation, space technology

October 16, 2023
UC Berkeley will develop a 36-acre site to house companies, labs and students in heart of Silicon Valley; learn more about the Berkeley Space Center
Categories Aerospace, AI & robotics, College news, Electrical engineering, Industry
Illustration of AI microchip on a motherboard circuit with shades of purple and pink.

$15.3M awarded to CA-Pacific-Northwest AI Hardware Hub

October 13, 2023
UC Berkeley to co-lead Microelectronics Commons regional innovation hub funded by the U.S. Department of Defense
Categories AI & robotics, College news, Computer science, Computing
Image of soundproofing material under red and blue lighting.

Researchers develop new AI-based design method for metamaterials

October 10, 2023
Innovative approach can create everyday products with novel mechanical properties
Categories AI & robotics, Civil engineering, Industry, Manufacturing, Materials science, Mechanical engineering

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