1/29/2020 - Covariant, an AI robotics company built on research that began at Berkeley, is garnering attention in the world of industrial automation.
Robotics & AI
1/22/2020 - Studying how spaghetti reacts to water might offer clues to how robots built from flexible materials can better mimic human movement, according to Oliver O'Reilly, professor of mechanical engineering.
12/3/2019 - Pieter Abbeel, professor of electrical engineering and computer sciences, led a team of researchers to develop Blue, the Berkeley robot for Learning in Unstructured Environments.
11/18/2019 New York Times - Electrical engineering and computer sciences professor Dawn Song, a leading expert in computer security and trustworthy artificial intelligence, is building a platform in which people control their own data online and are compensated for its use by corporations.
11/5/2019 Los Angeles Times - Leaders in artificial intelligence are unveiling a tool to push back against deepfake videos, built in part on scanning software that UC Berkeley has been developing in partnership with the U.S. military.
10/25/2019 Engineers have created an insect-sized robot that can move as fast as a cockroach and withstand the weight of the average human.
10/25/2019 Computer science researchers are using groundbreaking machine learning technologies to expose deepfake videos, manipulated images and other types of digital deception.
10/22/2019 - A computer algorithm developed by scientists at UCSF and UC Berkeley bested two out of four expert radiologists at finding tiny brain hemorrhages in head scans — an advance that one day may help doctors treat patients with traumatic brain injuries, strokes and aneurysms.
9/19/2019 NPR - NPR's All Things Considered talked to EECS professor Dawn Song about her AI work with traffic signs to explain how U.S. Military researchers are working to combat what they call "adversarial artificial intelligence." That's when someone hacks into an AI system to transmit the wrong information.
9/19/2019 California Magazine - Electrical engineering and computer sciences professor Stuart Russell proposes a solution to AI’s fundamental "design error."