Five Berkeley EECS faculty members have joined the newly formed AI Institute for Agent-based Cyber Threat Intelligence and Operation (ACTION), which is backed by the National Science Foundation (NSF). NSF will invest $140 million into seven new National Artificial Intelligence Research Institutes, of which ACTION is a key institute that will use AI to address risks in cybersecurity. The UC Berkeley team will be led by CS Professor Dawn Song, as well as Professors Stuart Russell, Pieter Abbeel, David Wagner, and Bin Yu. “UC Berkeley’s team aims to develop both new foundational technologies in learning and reasoning, as well as their novel applications in the cybersecurity domain, to significantly improve state-of-the-art technologies throughout the life cycle of cyber defense,” said Song.

A dedication ceremony was held to honor EECS Emeritus Professor William Kahan for his contribution to the development of IEEE Standard 754. The ceremony, which took place on Wednesday, May 3rd, included remarks from Dean Liu, Chair Tomlin, and CS Professor Jim Demmel. A new commemorative plaque was unveiled in Soda Hall, next to the IEEE plaque that celebrates Berkeley EECS’ contribution to RISC. The new plaque celebrates Kahan and others’ work in the development of IEEE Standard 754, which was originally conceived in 1978. Kahan and his colleagues revolutionized numerical computing, creating arithmetic and standard data types that improved software reliability and portability. The IEEE 754 standard is widely used for numerical computing and is still being improved today.

In honor of Women’s History Month, Berkeley EECS and BART worked together to Embrace Equity in STEM. Over the course of 50 years, both organizations have strived to be engines of societal change and social mobility, and they continue to do so today: BART, by providing fast, reliable transportation to the public; Berkeley EECS through its mission to educate leaders, create knowledge, and serve society. The World Economic Forum has estimated that only 20% of engineering graduates are women, and women of color represent only 2% of all engineering professionals. Women are particularly underrepresented in leadership roles, comprising 24% in technology and 16% in infrastructure. To bridge the gap, Berkeley EECS is committed to promoting access to education and careers in STEM for women and girls. BART is a vital part of the transportation infrastructure in the Bay Area, and it plays a key role in ensuring that everyone has access to education and impactful careers in STEM. EECS Chair Claire Tomlin served as a special guest and ambassador for women in engineering, and participated in a panel discussion with BART engineers and Berkeley Engineering alumnae to promote early access to education for young women aspiring to make a greater impact on society. “It’s important that there are women role-models and people you can relate to,” said Professor Tomlin. “The number of women in engineering is still too low and I think we should be striving for a percentage of women that’s representative of the population.”

EECS Faculty will headline a new AI lecture series to explore the “paradigm shift” that ChatGPT and other large language models (LLMs) have catalyzed. CS Professors Jitendra Malik, Stuart Russell and Michael Jordan are among the seven speakers scheduled this spring to address the sensation that is ChatGPT and other related LLMs. CS Professor Ken Goldberg, who organized the lecture series on behalf of Berkeley Artificial Intelligence Research (BAIR), said, “Something changed very dramatically with the performance of ChatGPT, compared with previous large language models, and everyone, including experts, is asking, ‘What does it mean? Where do we go from here?’” The series will also feature John Schulman (Ph.D. ‘16; advisor: Pieter Abbeel), a co-founder of OpenAI and the primary architect of ChatGPT. “Everyone wants to hear from the experts,” Goldberg said. “There are so many misconceptions out there. In the series, we’ll hear from those who have been working in the field for many years who can provide valuable perspectives on the importance of ChatGPT.”

Two EECS graduate students, Jessy Lin (advisors: Anca Dragan and Dan Klein) and Abhishek Shetty (advisor: Nika Haghtalab) have been named 2023 recipients of the Apple Scholars in AI/ML PhD fellowship. This fellowship recognizes graduate and postgraduate students in the field of artificial intelligence and machine learning. Apple Scholars are selected based on “innovative research, record as thought leaders and collaborators, and commitment to advancing their respective fields.” Jessy Lin’s research is focused on using language as a medium to build agents that can collaborate and interact with humans. Abhishek Shetty’s research is broadly interested in theoretical computer science and machine learning, understanding how learning theory, complexity theory, and probability interact with each other. Apple Scholars receive funding to support their research, and mentorship with an Apple researcher in their field.

EE Profs. Rikky Muller and Jaijeed Roychowdhury have been named winners of the 2023 Bakar Prize. Given annually, the Bakar Prize is designed to give a boost to former fellows as they translate their research into real-world applications, providing additional resources to help transition their work to applications in industry. Muller’s group developed EarEEG, which uses lightweight in-ear earbuds to detect the brain’s electrical activity in a non-invasive way. Roychowdhury’s group invented an Oscillator Ising Machine (OIM), which addresses the scale and expense of “Quantum Annealing” in Quantum computing.

EE Prof. Alberto Sangiovanni-Vincentelli has won the 15th BBVA Foundation Frontiers of Knowledge Award in Information and Communication Technologies. He was cited “for ‘radically transforming' the design of the chips that power today’s electronic devices, giving rise to ‘the modern semiconductor industry.’” Prof. Sangiovanni-Vincentelli transformed chip design in three fundamental ways: first, he created simulation tools that sped up electronic circuit design and fabrication; second, he invented a program to automate circuit design with hardware programming languages, eliminating the need for what was once a complicated and arduous process; and finally, he developed algorithms to geometrically optimize circuit placement for performance and energy efficiency. From this body of work, he founded two companies, Cadence and Synopsys, both of which are instrumental to the semiconductor industry today, and continue to provide technology to companies like Apple, GM, Intel, Tesla and Boeing. He received 28 nominations for this award, both individual and institutional, from all over the world. The Frontiers of Knowledge Award was established in 2008 with the goal of promoting “the value of knowledge as a public good without frontiers, the best instrument to take on the great global challenges of our time and expand the worldviews of individuals for the benefit of all humanity.” Each recipient is awarded €400,000.

EECS Ph.D. student Yicheng Zhu (advisor: Robert Pilawa-Podgurski) has won an NVIDIA Graduate Fellowship. Zhu, whose research interests include enabling technologies for high-performance electric power conversion, is one of five recipients of the fellowship, which awards up to $50,000 to each recipient in support of research in areas such as accelerated computing, with fellows tackling projects in deep learning, robotics, computer vision, computer graphics, circuits, autonomous vehicles, and programming systems. Awardees are selected from a highly competitive, global applicant pool and will participate in a summer internship with NVIDIA. Spanning 22 years, NVIDIA has awarded $6 million to nearly 200 students to support graduate research. “Our fellowship recipients are among the most talented graduate students in the world,” said NVIDIA Chief Scientist Bill Dally. “They’re working on some of the most important problems in computer science, and we’re delighted to support their research.” Zhu’s research will explore extreme-performance hybrid switched-capacitor voltage regulation modules for ultra-high-power GPUs, which enables highly efficient and ultra-compact vertical power delivery with fast transient response.

James J. Truchard, co-founder and former president and CEO of National Instruments and Berkeley EECS external advisory board member, has won the IEEE James H. Mulligan Jr. Education Medal. Established in 1956 by the American Institute of Electrical Engineers, the medal recognizes the importance of education's contribution to “the vitality, imagination, and leadership of the members of the engineering profession.” The award consists of a gold medal, a bronze replica, a certificate, and an honorarium. The criteria for selection include excellence in teaching and the ability to inspire; leadership in electrical engineering education; leadership in the development of programs in curricula or teaching methodology; contributions to the profession through research, engineering achievements, and technical papers; and participating in the education initiatives of professional societies. Truchard was cited “for the development of LabVIEW and establishing worldwide programs to enhance hands-on learning in laboratories and classrooms.”

Girish Pahwa has won the 2022 IEEE Electron Device Society (EDS) Early Career Award. Dr. Pahwa is an assistant professional researcher at Berkeley EECS and is currently the executive director of the Berkeley Device Modeling Center (BDMC), whose leadership includes EE Profs. Chenming Hu and Sayeef Salahuddin. His research interests include device modeling, simulation, and benchmarking of emerging nanoscale technologies. Awarded annually, the EDS Early Career Award recognizes and supports technical development within the EDS field of interest. Recipients are given a plaque and a check for $1,000 at the EDS Awards Dinner, held in conjunction with the international Electron Devices Meeting (IEDM), which will be held in San Francisco, CA this year.