2/8/2019 - The Optical Society, the leading global professional association in optics and photonics, announced that the 2019 Frederic Ives Medal/Jarus W. Quinn Prize will be presented to Eli Yablonovitch of Berkeley Engineering. Yablonovitch is honored for “diverse and deep contributions to optical science including photonic crystals, strained semiconductor lasers, and new record-breaking solar cell physics.”
2/7/2019 - The National Academy of Engineering (NAE) has elected EECS professor and alumna Claire Tomlin (Ph.D. ’98 EECS) to its ranks. Tomlin was cited for her “contributions to design tools for safety-focused control of cyberphysical systems.”
1/31/2019 - A new 3D printer uses light to transform gooey liquids into complex solid objects in only a matter of minutes.
1/30/2019 - UC Berkeley's ongoing video series on the intersection of social activism and technology profiles recent CS doctoral graduate Rebecca Sorla Portnoff, who uses her computer security know-how to help catch sex traffickers.
1/16/2019 - In a new paper, Berkeley engineers build on 35 years of research with new algorithms that compute robust robot pick points, enabling robot grasping of a diverse range of products without training.
1/14/2019 - For the first time ever, an international team of researchers imaged the microscopic state of negative capacitance. This novel result could have far-reaching consequences for energy-efficient electronics.
1/9/2019 Wired - Researchers from the Berkeley AI Research Lab and Google Brain have taught a robot to teach itself how to walk, through trial and error, in just two hours; the results "are as awkward as they are magical."
12/31/2018 - A new neurostimulator developed by engineers at UC Berkeley can listen to and stimulate electric current in the brain at the same time, potentially delivering fine-tuned treatments to patients with diseases like epilepsy and Parkinson’s.
12/21/2018 - Current privacy laws and regulations are nowhere near sufficient to keep an individual’s health data private in the face of advances in artificial intelligence, according to a new study from IEOR professor Anil Aswani and his team.
12/19/2018 California Magazine - Unlike most robots, the ones in the Berkeley Artificial Intelligence Research (BAIR) Lab haven’t been programmed to perform a specific task. Instead, they’ve been programmed to learn new stuff by observation or through physical trial and error.