6/1/2018 ECS professor David Patterson won the A.M. Turing Award for his work, with Stanford’s John Hennessy, on RISC processor design.
6/1/2018 Over the past 150 years, Berkeley Engineering has created a legacy of innovation and public service.
6/1/2018 LeoLabs’ radar technology tracks space debris and determines if it is hazardous to satellites or other spacecraft.
6/1/2018 A new development in LED technology may lead to “invisible” or vanishing displays.
6/1/2018 Robots can manipulate objects they have never encountered before by building on previous play and observations.
5/31/2018 - The presence of talented EECS student engineers, along with plenty of hungry students and a gourmet local food scene, goes a long way to explain the decision by Felipe Chavez to launch his robot-powered meal delivery startup Kiwi in Berkeley.
5/29/2018 HPC Wire - EECS professor emeritus David A. Patterson and former Stanford president John L. Hennessy, who received the 2017 ACM A.M. Turing Award for pioneering a systematic, quantitative approach to the design and evaluation of computer architectures, will jointly present the Turing Award Lecture on June 4 at the International Symposium of Computer Architecture in Los Angeles. The Turing Award lecture is open to the public and will be livestreamed .
5/21/2018 The Verge - AI start-up Semantic Machines, co-founded and co-led by EECS professor Dan Klein, is being acquired by Microsoft, which hopes to make its Cortana digital assistant and other bots sound more naturally human by establishing "a conversational AI center of excellence in Berkeley."
5/10/2018 New York Times - EECS Ph.D. candidate Nicholas Carlini and other Berkeley cybersecurity researchers have been embedding commands into music and spoken text that human listeners can't hear but smart devices can. Carlini hopes to secure AI systems against attacks that he assumes "malicious people" are already working on.
5/4/2018 Wired - EECS professor Anca Dragan discusses one of the big challenges in her field of human-robot interaction: getting robots to anticipate human behavior. “It's not enough to know what people are currently doing. They need to know what's going to happen in the future.”