Computer science

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.

At Berkeley, ‘ethical hackers’ learn to wage cyberwar

11/29/17 New Yorker — EECS professor Doug Tygar is teaching a new generation of cyber security researchers to prevent cyberwar attacks by forensically examining them, and even sometimes mounting "ethical hacking" schemes of their own.

Berkeley offers new cybersecurity degree

11/15/17 CLTC — Applications are being accepted for a new, online master's of information and cybersecurity program at UC Berkeley's School of Information, in collaboration with the College of Engineering and the I-School's Center for Long-Term Cybersecurity.

Students learn to ‘think like a hacker’

11/09/17 EdScoop — Through a partnership with HackerOne's bug bounty platform, students in EECS professor Doug Tygar's computer science class are gaining real-world experience in cybersecurity and ethical hacking - with the potential for real-world payoffs.

Ultrafast magnetic reversal points the way toward speedy, low-power computer memory

11/03/17 — Researchers at UC Berkeley and UC Riverside have developed a new, ultrafast method for electrically controlling magnetism in certain metals, a breakthrough that could lead to speedier, more energy-efficient computer memory.

Shafi Goldwasser appointed director of Simons Institute

10/18/17 — Turing Award-winning computer scientist Shafi Goldwasser will become the new director of the Simons Institute for the Theory of Computing on January 1, 2018.

Berkeley experts on how to build more secure, faster AI systems

10/16/17 — In a new report from Berkeley's Real-Time Intelligent Secure Execution Lab (RISELab), leading researchers outline challenges in systems, security and architecture that may impede the progress of artificial intelligence, and propose new research directions to address them.

EECS professor David Culler named interim dean for data sciences

05/26/17 — Chancellor-designate Carol Christ has appointed EECS professor David Culler as interim dean for the newly created Division of Data Sciences, effective July 1.

Researchers teach computers to be curious

05/25/17 Engadget — When you first played Super Mario Bros, you probably started by exploring, not by racing through the game. Berkeley computer scientists have imparted that same sense of curiosity into their algorithm in a move that could drastically advance the field of artificial intelligence.

Next big thing for David Patterson: New chip for Google Brain

05/08/17 CNBC — Less than a year after retiring from 40 years at Berkeley Engineering, legendary EECS professor David Paterson is now a key part of the team behind a critical chip that Google uses for artificial intelligence processing.