EECS Prof. Stuart Russell is slated to direct the future Kavli Center for Ethics, Science, and the Public, which aims to make ethics and social equity more central to scientific decision-making, and which will try to ensure that the public has a greater say in future scientific advances.  The new center will combine forces with a sister center at the University of Cambridge, UK, to connect scientists, ethicists, and the public, in necessary and intentional discussions about the potential impacts of scientific discoveries.  “In addition to answering fundamental questions about the ethics of science, the Kavli Center is going to create a generation of scientific leaders who have seen how other scientific disciplines grapple with ethical problems and who have real training in the philosophical analysis of these questions,” said Russell. “It’s not just about changing public policy, it’s about changing what it means to be a good scientist in every discipline that can have an impact on the public.”

EECS Assistant Prof. Sophia Shao has won the inaugural Workshop on Modeling & Simulation of Systems and Applications (ModSim) 2021 Dr. Sudhakar Yalamanchili (Sudha) Award.  This award recognizes "researchers who showcase the most outstanding contribution to the field of computer modeling and simulation" during the annual ModSim Workshop, which primarily features younger talent in the scientific community.  Shao presented "Enabling Holistic Machine-Learning Hardware Evaluation via Full-System Simulation," which described the Gemmini project's "systolic-array based matrix multiplication accelerator generator" that enables users to explore and evaluate different deep neural network accelerators.  The research was presented during a multi-part Rapid Fire flash talk/digital poster session.

EECS Prof. Murat Arcak and his graduate student He Yin have won the second Systems & Control Letters (SCL) Brockett-Willems Outstanding Paper Award. Their paper, "Reachability analysis using dissipation inequalities for uncertain nonlinear systems," published in SCL Volume 142, on August 2020, was deemed the best of 295 papers submitted to the journal in the two-year period between January 2019 through December 2020.  Co-authors include former ME Prof. Andrew Packard, who died in 2019, and Packard's former graduate student, Peter Seiler.  SCL hopes to present the award at the 25th International Symposium on Mathematical Theory of Networks and Systems (MTNS) which will be held in Bayereuth, Germany, in September 2022.

EECS Prof. and dean of Engineering Tsu-Jae King Liu has written an opinion piece for the Mercury News in which she explains why "the country urgently needs to reinvest in semiconductor design and manufacturing, including the development of a highly trained workforce."  She argues that America's lack of a skilled semiconductor manufacturing workforce, in the face of a global semiconductor chip shortage, is a matter of national security because it leaves the country vulnerable to geopolitical instability. "Systems that we rely upon for communications, commerce, defense and more are in jeopardy because the United States has lost its leadership in semiconductor manufacturing over the past three decades."  She appeals to Congress to address the issue and says "we need to double the number of students trained in microelectronics graduating today from all U.S. colleges and universities."  This will require "universities across the nation to collaborate with each other and to partner with industry" to create a geographically-distributed American Semiconductor Academy "with participating schools sharing curricula, facilitating access to industry-leading software tools and coordinating hands-on training for students."

EECS Prof. Emeritus Lotfi Zadeh (1921 - 2017) is being honored with a Google Doodle feature today.  In 1964, Zadeh conceived a new mathematical concept called fuzzy logic which offered an alternative to rigid yes-no logic in an effort to mimic how people see the world.  He proposed using imprecise data to solve problems that might have ambiguous or multiple solutions by creating sets where elements have a degree of membership. Considered controversial at the time, fuzzy logic has been hugely influential in both academia and industry, contributing to, among other things, "medicine, economic modelling and consumer products such as anti-lock braking, dishwashers and elevators."   Zadeh's seminal paper, "Fuzzy Sets -- Information and Control," was submitted for publication 57 years ago today.

CS Prof. Michael Jordan has co-written an article in Wired titled "The Turing Test Is Bad for Business" in which he argues that now that "computers are able to learn from data and...interact, infer, and intervene in real-world problems, side by side with humans," humans should not try to compete with them but "focus on how computers can use data and machine learning to create new kinds of markets, new services, and new ways of connecting humans to each other in economically rewarding ways."  Jordan wrote the article because many AI investors are focusing on technologies with the goal of exceeding human performance on specific tasks, such as natural language translation or game-playing. “From an economic point of view, the goal of exceeding human performance raises the specter of massive unemployment,” he said. “An alternative goal for AI is to discover and support new kinds of interactions among humans that increase job possibilities.”

EECS graduate student Rose A. Abramson (advisor:  Robert Pilawa-Podgurski) has won the European Power Electronics and Drives Association (EPE) 2021 Young Author Best Paper Award.   Her paper, “A High Performance 48-to-8 V Multi-Resonant Switched-Capacitor Converter for Data Center Applications,” co-authored by EECS alumnus Zichao Ye (Ph.D. '20) and Prof. Robert Pilawa-Podgurski, was presented during the EPE 2020 ECCE Europe conference.  Abramson, whose research focuses on power electronics and energy, received her B.S. in 2015 and her M.Eng. in 2016, both from MIT, and worked as a project electronics engineer at both Nucleus Scientific and Lutron Electronics before coming to Berkeley.   EPE Awards honor outstanding achievements in power electronics and more generally in the field of EPE activities.

Berkeley EECS is happy to announce the launch of the Center for Energy Efficient Deep Learning (CEEDL), a new Intel oneAPI Center of Excellence (CoE) with Prof. Kurt Keutzer as Principal Investigator and Prof. Joey Gonzalez as co-PI. This center will focus on producing energy-efficient algorithms and implementations for deep learning’s most computationally-intensive workloads. As computing grows to become an increasingly significant portion of an organization’s energy budget, deep-learning workload compute demands are also becoming insatiable. The CEEDL’s charter includes developing energy-efficient algorithms for challenging workloads such as training recommendation systems and natural language understanding systems. The center will use the oneAPI Deep Neural Network Library (oneDNN) and the oneAPI Collective Communications Library (oneCCL) to optimize this work. While high-level algorithms are useful, these algorithms must be implemented on an ever-increasing variety of computational platforms to be impactful. oneAPI’s open, unified heterogeneous programming will significantly ease the development of portable implementations across multiple types of architectures: CPUs, GPUs, FPGAs, and other accelerators.