Computing

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

Illustration showing UC Berkeley ranked number two

Berkeley ranked #2 for blockchain

10/09/18 CoinDesk — A new survey ranks UC Berkeley second in the nation for blockchain education (and the only public school on the list). Berkeley was praised for its engineering prowess, its interdisciplinary courses and its vibrant on-campus community, including the Blockchain at Berkeley student group.

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?

Berkeley Lab’s Molecular Foundry Nanofabrication clean room.

Berkeley Quantum to accelerate innovation in quantum science

09/28/18 Berkeley Lab — Lawrence Berkeley National Laboratory and UC Berkeley have partnered to form Berkeley Quantum, a research alliance that will tackle some of the most difficult problems in quantum information science, and will facilitate the design, fabrication, and testing of quantum devices and technologies.

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.

The latest course catalog trend? Blockchain 101

09/19/18 Wired — From a course teaching students to think like blockchain entrepreneurs to "collider sprints" at the Sutardja Center's Blockchain Lab, Berkeley is at the forefront of universities incorporating this multidisciplinary technology into the curriculum.

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.

Blockchain Fundamentals instructors Gloria Wang and Rustie Lin.

Course will make blockchain so clear ‘you can explain it to your grandma’

06/15/18 — A popular Berkeley DeCal course on blockchain - the complex, bewildering bookkeeping technology that underpins things like bitcoin - will soon be available free online to the public via edX.

Blockchain comes to campus

06/01/18 — Blockchain at Berkeley, a student group, is bringing together those interested in engineering, business and technology law.

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.

Fighting human trafficking

06/01/18 — Algorithms can link online sex ads to bitcoin transactions, identifying human traffickers.

Stephanie Tena teaches middle schooler Bianca Castro coding and AI during an after- school club

The future of AI depends on high school girls

05/23/18 The Atlantic — From a coding summer camp for high schoolers at Stanford to a project showcase for teens and their mentors at Berkeley, AI4All is working to widen the pipeline of women entering the field of artificial intelligence.

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.

schematic illustrating the variation of electron energy in different states, represented by curved surfaces in space

Valleytronics discovery could extend limits of Moore’s Law

04/16/18 Berkeley Lab — New research from Berkeley Lab, co-led by materials science and engineering Ph.D. candidate Shuren Lin, finds useful new information-handling potential in tin sulfide, a candidate “valleytronics” transistor material that might one day enable chipmakers to pack more computing power onto microchips.

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.

Data8x instructors David Wagner, Ani Adhikari and John DeNero

Berkeley puts popular data science course online, for free

03/29/18 — The fastest-growing course in UC Berkeley's history - Foundations of Data Science - is being offered free online this spring for the first time through the campus's online education hub, edX.

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.