A team of researchers from UCSF and Berkeley EECS have developed an implantable AI-powered device that can translate brain signals into modulated speech and facial expressions. The device, a multimodal speech prosthesis, and digital avatar, was developed to help a woman who had lost the ability to speak due to a stroke. The results have the potential to help countless others who are unable to speak due to paralysis or disease. The breakthrough study, published in the journal Nature, was led by UCSF neurosurgeon Edward Chang, EE Assistant Professor Gopala Anumanchipalli and Ph.D. student Kaylo Littlejohn. “This study heavily uses tools that we developed here at Berkeley, which in turn are inspired by the neuroscientific insights from UCSF,” said Gopala. “This is why Kaylo is such a key liaison between the engineering and the science and the medicine — he’s both involved in developing these tools and also deploying them in a clinical setting. I could not see this happening anywhere else but somewhere that is the best in engineering and the best in medicine, on the bleeding edge of research.”

Charis Zhang, Oliver Johansson, and Tobias Worledge, three Berkeley CS undergraduates, have co-founded RIZZ!, an AI-dating app that uses AI to generate witty and charming messages. The app, which was featured on “The Today Show,” has helped users drastically reduce the time between chatting online and meeting in person. “Traditionally it might take you a week, but with RIZZ!, it might take two to three days to get a date,” said Zhang.

An article produced by the College of Computing, Data Science, and Society highlighted the increasingly frought landscape of user privacy in the emerging world of Virtual Reality (VR) devices. The article cites two papers published by faculty, students, and visitors affiliated with the Berkeley Center for Responsible, Decentralized Intelligence. Led by CS Ph.D student Vivek Nair and Professor Dawn Song, the research showed that users of such devices can be identified using just minutes of their head and hand movements. Movement data, which is collected and shared with companies and other players to fuel these worlds, can be used to infer dozens of details from age to disability status. One paper demonstrates that body movements are as singular and reliable an identifier as fingerprints, which was accepted for publication at the USENIX Security Symposium. Another found that use of headset data could accurately identify or infer more than 25 characteristics, including location, age and height, which will be published for the Privacy Enhancing Technologies Symposium. “We've done an extensive job of proving that there is a privacy risk here and that it is a different kind of privacy risk than what we have seen on the web,” Nair said. “These kinds of approaches for how to either transform the data or control who has access to it, that's going to be our main focus moving forward." Berkeley RDI is a multi-disciplinary initiative aimed at advancing the science, technology and education of decentralization and empowering a responsible digital economy. This work is part of the center’s Metaverse security and privacy research effort.

A team of researchers led by Professor Boubacar Kanté has demonstrated the first on-demand quantum light source using silicon, an advancement towards creating photons in ways that would reliably feed quantum networks, or a quantum internet. “The possibility to use silicon as a source of quantum light signifies that current large-scale Complementary Metal-Oxide Semiconductor (CMOS) chip manufacturing processes at the core of today’s optoelectronics and artificial intelligence (AI) devices may be directly used for future quantum systems,” Kanté said. He elaborated further: "In this work, we successfully embedded for the first time an atomic defect in silicon the size of atoms (1 angstrom) in a silicon photonic cavity (1 micron) with the size of less than one-tenth of a human hair. The cavity forces the atom to be brighter, and it emits photons at a faster rate. Those are necessary ingredients for scalable quantum light sources for the future [quantum] internet." This research was published in Nature Communications on June 7th, 2023. The study was led by post-doctoral scholars Walid Redjem and Wayesh Qarony, and Yertay Zhiyenbayev, a third-year Ph.D. student in Kanté’s group. Other co-authors include Schenkel, Vsevolod Ivanov, Christos Papapanos, Wei Liu, Kaushalya Jhuria, Zakaria Al Balushi, Scott Dhuey, Adam Schwartzberg and Liang Tan. The National Science Foundation and the Department of Energy provided the primary support for the study. Additional funding came from the Office of Naval Research, the Moore Inventor Fellows program and UC Berkeley’s Bakar Fellowship.

The UC Board of Regents today voted to establish UC Berkeley’s College of Computing, Data Science, and Society (CDSS), the campus’s first new college in more than 50 years. The vote is the result of a three-year process to transform the Division of Computing, Data Science and Society into a college, which, in its new organizational structure, will be able to more effectively form new programs and partnerships, support instruction and research and foster identity and community among faculty, students and alumni. The college includes the Data Science Undergraduate Studies program, the Department of Statistics, the Berkeley Institute for Data Science, the Center for Computational Biology and the Bakar Institute of Digital Materials for the Planet. CDSS shares the Department of Electrical Engineering and Computer Sciences with the College of Engineering, the Social Science Data Lab (D-Lab) with the Social Sciences division, and the Computational Precision Health program with UC San Francisco (UCSF). “We are thrilled to announce a new college at Berkeley that connects our excellent research and education in computing, data science and statistics with the many data-intensive disciplines across our campus,” said Chancellor Christ. “Infusing the power of data science across multiple disciplines, from basic and applied sciences to the arts and humanities, will help us to fully realize its potential to benefit society, help address our world’s most intractable problems, and achieve our most visionary goals. At Berkeley, we have the opportunity and responsibility to educate data science students from diverse backgrounds to become the ethical leaders we need in private industry, the public service sector, and education.”

Three Berkeley EECS graduate students from the Berkeley Wireless Research Center (BWRC) were selected to receive Apple Ph.D. Fellowships in Integrated Systems for 2023-24. Hesham Beshary (Advisor: Niknejad), Liz Murray (Advisor: Rikky Muller) and Biqi (Rebekah) Zhao (Advisors: Alon/Muller/Lustig/Liu) will receive financial support covering the fees and stipend of their degree program at Berkeley, as well as continued professional interaction through Apple internships. The fellowship recognizes top students with expressed interest in IC engineering, SoC design, Verification, Test, and Computer Architecture.

The 9th Annual Berkeley-Stanford Women in EECS research meetup took place on Saturday, April 29th in the Wozniak Lounge, Soda Hall. The meetup offers all female-identifying, transgender, non-binary, and gender non-conforming graduate students a chance to learn about each other’s research and to network with alums from industry and academia. The daylong event featured a panel of faculty from both Berkeley and Stanford, as well as recent alums in industry. Throughout the day graduate students presented their research highlights. Stanford EE Assistant Professor Dorsa Sadigh (EECS Ph.D. ‘17), gave a keynote speech. The meetup marked the 45th anniversary of Berkeley’s Women in Computer Science and Electrical Engineering (WiCSE). Professor Susan Graham, the first woman appointed to the CS faculty in 1971, shared remarks on the history and value of WiCSE. “What a wonderful group of students!" said Graham. "I was impressed with the brief research talks, and with the conversations I had."

The College of Engineering held a groundbreaking ceremony for its new Engineering Center on April 21. The new building, which is scheduled for completion in 2025, will be a hub for student collaboration, innovation, and entrepreneurship. The building will serve as a space for students across different disciplines and perspectives to connect, learn from each other, and build community. Thus far, 85% of the funds required to complete the project have been raised through the support of the Engineering Advisory board and key benefactors. The ceremony was attended by hundreds, including faculty, staff and students, and featured remarks by Dean Liu and Chancellor Christ. “We need to provide intellectual and actual physical space for engineers to become entrepreneurs, for climate scientists to partner with public health experts, and for computer scientists to work with legal scholars,” said Chancellor Christ. “This will be a place of possibility where, each year, thousands of engineering students and their peers from across the campus will converge, hear diverse perspectives, and skills will be melded, multiplied and brought to bear on the biggest challenges of our day, from climate change to global health to misinformation.”

The U.S. News & World Report ranked both the Electrical Engineering and Computer Science graduate programs at Berkeley EECS among the top three graduate programs in the nation for 2023. Computer Science is ranked #1, tied with MIT and Stanford. Electrical Engineering and Computer Engineering are ranked #2, tied with Stanford. The magazine based its rankings on responses from 202 engineering schools across the country, including data from fall 2022 and early 2023. This year, U.S. News included non-responders from the 220 schools surveyed, so long as they reported enough data to be eligible in 2022.