EECS

Eli Yablonovitch honored with Optical Society award

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.”

EECS professor Claire Tomlin elected to NAE

Claire Tomlin

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.”

Activism 2.0: Coding against sex trafficking

Thumbnail of video: Coding against Sex Trafficking

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.

Clever clumsiness: Self-taught walking robot

Thumbnail of video: SAC on Minitaur - Training

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."

Wireless 'pacemaker for the brain'

Illustration of the proposed WAND device, with two of the new chips embedded in a chassis located outside the head.

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.

Artificial intelligence opens health data privacy to attack

robotic finger on computer keyboard

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.

These robots are learning the old-fashioned way—by playing

Robots in the Berkeley Artificial Intelligence Research (BAIR) Lab

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.

Pages