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Home > News

Computer science

Facial Manipulations in Adobe Photoshop

Adobe Research and UC Berkeley: Detecting Facial Manipulations in Adobe Photoshop

06/19/19 Adobe — UC Berkeley and Adobe researchers have developed a method for detecting edits to images that were made using Photoshop's Face Aware Liquify feature. While still in its early stages, this collaboration between Adobe Research and UC Berkeley, is a step towards democratizing image forensics, the science of uncovering and analyzing changes to digital images.
Demo of SIGNAL, a new multi-player computer game

Bringing out the science of war games

05/07/19 — A first-of-its-kind online game is poised to revolutionize the field of war-gaming. This new multi-player computer game was custom-built to explore deterrence and decision-making in an escalating conflict.
Scott Shenke

Scott Shenker elected to the NAS

05/01/19 — EECS professor Scott Shenker is one of eight UC Berkeley faculty elected to the National Academy of Sciences this year. He is considered to be one of the top computer scientists in the country and has designed new ways to configure complex computer networks.
Ambidextrous robot

‘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

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.
Allen Goldstein and Katherine Yelick

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.
Abstract image of quantum circuit board

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?
Turing award winners

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

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.
Michael Jordan

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

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.
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