Popular Mechanics magazine named EECS professor Ruzena Bajcsy as one of 37 women who “upended science, tech, and engineering for the better.” Bajcsy, who conducted pioneering work in robotics and artificial intelligence, joins a list that includes Katherine Johnson of NASA and Nobel Prize winner Marie Curie
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.
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.
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.
Computer science researchers are using groundbreaking machine learning technologies to expose deepfake videos, manipulated images and other types of digital deception.
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.
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.
A team of materials science researchers from Berkeley Lab and Berkeley Engineering has found that with minimal training, machine-learning text mining of the existing scientific literature can lead to new discoveries.
UC Berkeley and Adobe researchers have developed a method for detecting edits to images that were made using Photoshop’s Face Aware Liquify feature. While still in its early stages, this collaboration between Adobe Research and UC Berkeley, is a step towards democratizing image forensics, the science of uncovering and analyzing changes to digital images.
EECS graduate student Shruti Agarwal and incoming professor Hany Farid argue that powerful new AI software has effectively democratized the creation of convincing “deepfake” videos, making it easier than ever to fabricate someone appearing to say or do something they didn’t really do.
A new video by the Hybrid Robotics Group shows bipedal robot Cassie Cal riding in hovershoes down a few stairs, on uneven outdoor terrain, up and down steep inclines and leaning into a turn to navigate corners.
The integration of self-driving vehicles requires policy decisions that consider how travel behavior will shift with the introduction of new mobility choices.