Computer science

Allen Goldstein and Katherine Yelick elected AAAS fellows

11/27/18 — EECS professor Katherine Yelick and CEE professor Allen Goldstein, both faculty scientists at Berkeley Lab, were elected to the American Association for the Advancement of Science.

Stock photo of colored pins and networking connections

Data science division to connect teaching and research across campus

11/01/18 — UC Berkeley is forming a new academic division, provisionally referred to as the Division of Data Science and Information, to facilitate interactions among researchers, students and faculty in a wide variety of disciplines.

Berkeley computer theorists show path to verifying quantum supremacy

10/30/18 — Berkeley computer theorists have shown that there is merit behind a method of verifying quantum supremacy, a term that describes a quantum computer's ability to solve a problem that is prohibitively difficult for any classical algorithm.

Turning cars into robot traffic managers

10/29/18 — Berkeley transportation researchers are addressing the emerging era of smart vehicles with a project that uses machine learning to manage traffic where autonomous, semi-autonomous and manned vehicles share the road. They presented their project, called Flow, at the Conference on Robotic Learning.

Students with computers listen to a lecture in David Wagner

Data science, the ‘new Latin’ for students, in demand in Silicon Valley

10/19/18 SF Chronicle — Data science is one of the fastest-growing fields of study at Berkeley, but the field is in such demand that jobs far outstrip the supply of graduates in the Bay Area

Urmila Mahadev giving a computer science seminar

Student’s ‘astounding’ solution to quantum puzzle

10/08/18 Quanta Magazine — Berkeley computer science postdoc Urmila Mahadev spent eight years in graduate school solving one of the most basic questions in quantum computation: How do you know whether a quantum computer has done anything quantum at all?

Lectures celebrate ‘golden age’ of computer science research

09/25/18 — In celebration of the 50th anniversary of computer science at UC Berkeley, EECS is launching a special series of lectures by winners of the Turing Award,all of whom are current or past Berkeley faculty members or alumni.

David Patterson: Moore’s Law is over

09/18/18 IEEE Spectrum — David Patterson, Turing laureate and professor emeritus of electrical engineering and computer sciences, says the demise of Moore's Law is a golden opportunity for computer architects and software engineers.

Patterson wins Turing Award

06/01/18 — ECS professor David Patterson won the A.M. Turing Award for his work, with Stanford's John Hennessy, on RISC processor design.

AI: The revolution hasn’t happened yet

04/25/18 Medium — EECS and statistics professor Michael Jordan writes about the opportunity and imperative of developing a "human-centric engineering discipline" to address the ethical concerns of artificial intelligence.

EECS senio Tammy Nguyen in a Soda Hall computer lab

More female computing grads challenge tech’s bad bros

04/16/18 Mercury News — More and more women are getting computer science and electrical engineering degrees from Berkeley and Stanford, reversing a national trend. But the growing and heated debate over the technology industry's male-dominated culture hasn't escaped the attention of those female students, said EECS professor John DeNero.

Making computer animation more agile, acrobatic — and realistic

04/10/18 — EECS grad student Xue Bin “Jason” Peng and his colleagues have made a major advance in realistic computer animation, using deep reinforcement learning to create a virtual stuntman that mimics natural motions.

John DeNero honored for distinguished teaching

03/19/18 — EECS professor John DeNero has been named a winner of Berkeley's Distinguished Teaching Award, one of the university's highest honors. DeNero uses technology and teaching assistants to scale popular computer and data science courses without losing academic rigor. His work was recently featured in Berkeley Engineer magazine.

New machine learning method sees the forests and the trees

03/06/18 Berkeley Lab — In an effort to teach computers to guide science, researchers at Berkeley Lab and UC Berkeley have come up with a novel machine learning method, which they call "iterative Random Forests," that enables scientists to derive insights from systems of previously intractable complexity in record time.

Ion Stoica with members of the RISELab team

$10 million award for RISELab’s AI research

02/27/18 — Berkeley's RISELab, led by EECS professor Ion Stoica, has received an Expeditions in Computing award from the National Science Foundation, providing $10 million in funding over five years to enable game-changing advances in real-time decision making technologies.

EECS graduate student Noah Johnson and professor Dawn Song

Security for data analytics: Handling the two-edged sword

02/16/18 Berkeley Research — Data protocols meant to ensure privacy can end up blocking valuable, even life-saving analysis of that data. Now EECS researchers are trying a new approach that allows organizations to follow tight data security and privacy policies while enabling flexible data analysis.

Students in a cryptocurrency course at New York University

Cryptocurrencies come to campus

02/09/18 New York Times — UC Berkeley is one of several institutions rushing to add courses about Bitcoin, blockchain and other elements of virtual currency to the curriculum. EECS professor Dawn Song is co-teaching one such course to a standing-room-only audience of engineering, business and law students.

New research centers to help usher in future of microelectronics

01/19/18 — The Semiconductor Research Corporation announced six new multi-university research centers, and Berkeley Engineering faculty are leading partners in three of them. The centers aim to jump-start future technologies for the microelectronics industry.

NAS honors Prasad Raghavendra for computer science work

01/17/18 — Prasad Raghavendra, an EECS associate professor, was honored by the National Academy of Sciences for his revolutionary research in computer science, sharing the inaugural $100,000 Michael and Sheila Held Prize with David Steurer of ETH Zurich.

Winning students Eric Munsing, Allen Tang, Soeren Kuenzel and Jake Soloff with their prize check

Grad students win $100,000 in data science contest

12/04/17 — A team of UC Berkeley graduate students with serious data science and analysis skills, including EECS MS student Allen Tang and CEE Ph.D. candidate Eric Munsing beat teams from the likes of Harvard, MIT and Oxford to win the $100,000 top prize in an international data science competition staged by the hedge fund Citadel.