News

Pieter Abbeel, Sergey Levine & Chelsea Finn (Peter Earl McCollough)

Pieter Abbeel on building A.I. that can build A.I.

Prof. Pieter Abbeel is featured in a New York Times article titled "Building A.I. That Can Build A.I.," about how Google and others, in competition for a small pool of qualified researchers, are looking for automated ways to deal with a shortage of artificial intelligence experts.   The key might be to build algorithms that analyze the development of other algorithms, learning which methods are successful and which are not--leading to  more effective machine learning.  This could help companies build systems with artificial intelligence even if they don’t have extensive expertise in that area.  Abbeel and his team demonstrate techniques that could allow robots to learn new tasks based on what they have learned in the past. “Computers are going to invent the algorithms for us, essentially,” said  Abbeel. “Algorithms invented by computers can solve many, many problems very quickly — at least that is the hope.”

Schematic of a magnetic memory array

EECS-affiliated team develops new, ultrafast method for electrically controlling magnetism in certain metals

A UC Berkeley/UC Riverside research group that includes Prof. Jeffrey Bokor, Prof. Sayeef Salahuddin, postdoc Charles-Henri Lambert, postdoctoral fellow Jon Gorchon, and EE graduate student Akshay Pattabi have developed a new, ultrafast method for electrically controlling magnetism in certain metals, a breakthrough that could lead to greatly increased performance and more energy-efficient computer memory and processing technologies.  Their findings are published in both Science Advances (Vol. 3, No. 49, Nov. 3, 2017) under the title Ultrafast magnetization reversal by picosecond electrical pulses and Applied Physics Letters (Vol. III, No. 4, July 24, 2017) under the title Single shot ultrafast all optical magnetization switching of ferromagnetic Co/Pt multilayers.  “The development of a non-volatile memory that is as fast as charge-based random-access memories could dramatically improve performance and energy efficiency of computing devices,” says Bokor. “That motivated us to look for new ways to control magnetism in materials at much higher speeds than in today’s MRAM.”

Jinwen Xiao and the culture of Silicon Labs

EE alumna Jinwen Xiao (Ph.D. '03), now a senior director of engineering at Silicon Laboratories in Austin, Texas, is featured in a My Statesman article titled "Silicon Labs focuses on ‘mature, respectful’ workplace environment."  A computer chip design company, Silicon Labs ranks No. 1 among large employers in the American-Statesman’s 2017 Top Workplaces of Greater Austin project.  Xiao, who was born in China, now heads the 'Internet of Things' product development team of more than 40 people who come from 11 different countries.  The company places a priority on the intellectual development of its employees, providing a mentorship program and encouraging professional expansion.  It also actively fosters a culture of international inclusion and cooperation,  providing support and legal services for employees affected by the Muslim travel ban. "That is part of why this is a great place to work," Xiao says. "The company takes care of its people.”

Pramod Subramanyan and Rohit Sinha

"A Formal Foundation for Secure Remote Execution of Enclaves" wins Best Paper Award at ACM CCS 2017

A paper co-authored by postdoc Pramod Subramanyan, grad student Rohit Sinha, alumnus Ilia Lebedev (B.S. '10), alumnus and MIT Prof. Srinivas Devadas (M.S. '86/Ph.D. '88), and EECS Prof. Sanjit A. Seshia has won Best Paper Award at the 2017 ACM Conference on Computer and Communications Security (CCS).  The paper, A Formal Foundation for Secure Remote Execution of Enclaves, introduces a formal modeling and verification methodology for secure remote execution based on the notion of a trusted abstract platform.  CCS is the flagship annual conference of the Special Interest Group on Security, Audit and Control (SIGSAC) of the Association for Computing Machinery (ACM).

Sam Wood (left)

Sam Wood, Jim Welsh and the birth of KALX radio

Two EECS alumni were instrumental in the creation and establishment of KALX radio on campus in the 1960s.  Jim Welsh (B.S.’67), along with geology major Marshall Reed, started what was then known as Radio Kal in the basement of the Unit 2 dorm with a disposable collection of records, a couple mics, a cheap recorder and the semblance of a mixing board built into an old cigar box.  Sam Wood (B.S.’68) helped run midnight reconnaissance missions to salvage resistors, capacitors, tubes and transformers from various departments on campus, for use in constructing consoles, transmitters and other radio equipment.   “The rule was, the university wouldn’t let you do anything, but after 10 or 11 at night, everybody went home,” Wood says. “If wires somehow got into conduits, then nobody cared how they got there.”  The adventure is detailed in an article titled Berkeley sounds: The early days of KALX.

EECS Accel Scholars

Amit Kumar and Accel launch Accel Scholars EECS mentorship program

EECS alumnus Amit Kumar (B.S. '03) and the venture firm Accel are launching a mentorship program called Accel Scholars to support EECS undergraduates.  Accel will work with a select group of students over the course of a year, hosting networking dinners and also guaranteeing the students an internship at a portfolio company.  Kumar initiated the program because he felt there wasn’t enough career guidance for students at Berkeley and that venture firms that ignore the ecosystem are missing out.  Chair James Demmel says EECS is grateful for the opportunity to “partner with Accel and its network to provide a fast-track for an exceptionally talented and diverse cohort of undergraduates, who will benefit from mentorship by Accel but also by and from one another.”

Ash Bhat and Rohan Phadte (James Tensuan)

Rohan Phadte and Ash Bhat are doing what Twitter won't

EECS undergraduate Rohan Phadte and Interdisciplinary Studies major Ash Bhat are the subjects of a Wired article titled "The College Kids Doing What Twitter Won't," about their creation of a Google Chrome browser extension that checks whether Twitter profiles are bots.  It describes the genesis of their partnership, which they call RoBhat Labs, and their efforts to stop the proliferation of fake Twitter accounts from flooding the internet with propaganda. It also highlights the roles played by CS Assistant Prof. Joseph Gonzalez and the class Data Science 100.

Eric Schmidt to keynote HIMSS18

EECS alumnus Eric Schmidt (M.S. '79/Ph.D. '82) will deliver the opening keynote address at the Healthcare Information and Management Systems Society (HIMSS) Conference in March 2018.  Schmidt worked at Bell Labs and Xerox PARC before becoming president of Sun in the 1980s.  Over the next two decades, Schmidt  becamed the CEO of Novel and co-founded Google.  He is currently the Executive Chairman of Alphabet.  His keynote, titled "Technology for a healthier future: Modernization, machine learning and moonshots," will discuss how technological advancements such as cloud computing and machine learning are transforming healthcare.

Three EECS-affiliated papers win Helmholtz Prize at ICCV 2017

Three papers with Berkeley authors received the Helmholtz Prize at the International Conference on Computer Vision (ICCV) 2017 in Venice, Italy.  This award honors  papers that have stood the test of time (more than ten years after first publication) and is bestowed by the IEEE technical committee on Pattern Analysis and Machine Intelligence (PAMI).    Seven papers won this year, among them: "Recognizing action at a distance," by A Efros, A Berg, G Mori and J Malik, ICCV 2003; "Discovering objects and their location in images," by J Sivic, B Russell, A Efros, A Zisserman and W Freeman, ICCV 2005; and "The pyramid match kernel: Discriminative classification with sets of image features," by K Grauman and T Darrell, ICCV 2005."

(photo Tiberio Uricchio)

Caffe team wins Everingham Prize at ICCV 2017

The Caffe team researchers ('13 alumnus and current GSR Yangqing Jia, grad student Evan Shelhamer,  '17 alumnus Jeff Donahue, '15 alumnus Sergey Karayev, grad student Jonathan Long, former postdocs Ross Girshick and Sergio Guadarrama, and Prof. in Residence Trevor Darrell) have been awarded the Mark Everingham Prize at the International Conference on Computer Vision (ICCV) 2017.  Caffe is a deep learning framework made with expression, speed, and modularity in mind,  developed by Berkeley AI Research (BAIR) and by community contributors. The Everingham Prize is bestowed by the IEEE technical committee on Pattern Analysis and Machine Intelligence (PAMI) and is given to individuals or groups "who have made a selfless contribution of significant benefit to other members of the computer vision community."  The Caffe team won "for providing an open-source deep learning framework that enabled the community to use, train and share deep convolutional neural networks. Caffe has had a huge impact, both academic and commercial. "