Six EECS faculty are profiled in a Berkeley Engineering article titled "Case studies in forward thinking."  Pieter Abbeel's vision of the future is one of goal-oriented AI, where machines are learning responsibly.  Claire Tomlin envisions a future of airspace management, where intelligent robots can quickly and safely react to dynamic situations, and maybe even deliver packages on time.   Alexandre Bayen sees transit data trends, where data is used to reveal the previously unobservable.  Ken Goldberg envisions a future of dexterous robots, where machines work together with humans to refine their respective skills sand expertise.  Ren Ng's vision of the future is one where better optics--integrating both hardware and software--improve everything from computer vision and medical diagnostics to family photos and immersive entertainment.   Ana Claudia Arias sees a future which includes electronics and diagnostic equipment that fits the body of a patient and is capable of quickly producing high resolution images, all the while providing a more comfortable experience, particularly for children.

Teaching Prof. Dan Garcia is quoted in a WBRC Fox 6 News article  which discusses how a group of Alabama teachers are working to expand computer science education opportunities for students in rural Alabama and inner-city Birmingham.  Garcia, who was part of the 2017 Alabama Teachers Computer Science Summit at The University of Alabama, praised efforts of teachers and advocates in Alabama and across the country, for their work to expand CS education. "Graduation day is the happiest day of my life, when I see all of the people who took my course four years ago, and got hooked on it," Garcia said. "They can do anything. Every single industry is being affected by data."

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.”

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.”

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.”

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).

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 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.”

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.

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.