Computing

UC Berkeley expands responsible data and computer sciences curriculum

04/30/19 — The Responsible Computer Science Challenge, an ambitious $3.5 million initiative, has chosen UC Berkeley as one of its inaugural awardees. The award will support UC Berkeley faculty and students in computer science, social science, and humanities to develop and scale Berkeley's groundbreaking ethics curriculum for data science and computer science.

Ellen Ullman on her life in code

04/01/19 — In a Berkeley Talks podcast, programmer and author Ellen Ullman chats with Berkeley Engineering Dean Tsu-Jae King Liu about digital technology's loss of innocence, and reckons with all that has changed - and so much that hasn't.

‘Ambidextrous’ robots could dramatically speed e-commerce

01/16/19 — In a new paper, Berkeley engineers build on 35 years of research with new algorithms that compute robust robot pick points, enabling robot grasping of a diverse range of products without training.

Researchers capture an image of negative capacitance in action

01/14/19 — For the first time ever, an international team of researchers imaged the microscopic state of negative capacitance. This novel result could have far-reaching consequences for energy-efficient electronics.

Robots in the Berkeley Artificial Intelligence Research (BAIR) Lab

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

12/19/18 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.

Connie Chang-Hasnain named National Academy of Inventors Fellow

12/11/18 — EECS professor Connie Chang-Hasnain has been named a fellow of the National Academy of Inventors, an organization that champions the societal benefits of university research.

New quantum material could take computers beyond semiconductors

12/03/18 — Researchers from Intel Corp. and UC Berkeley's MSE are looking beyond current transistor technology and preparing the way for a new type of memory and logic circuit that could someday be in every computer on the planet.

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.

Berkeley researchers to help develop trustworthy machine learning systems

10/24/18 — Berkeley engineers, led by computer sciences professor Dawn Song, are part of the new Center for Trustworthy Machine Learning funded by the National Science Foundation. The NSF center, led by Pennsylvania State University and announced today, will focus on developing secure systems in the era of machine learning models. The center will receive $10 million over five years.

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.