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Center for Advancing Women in Technology launches Technology Pathways Initiative

Center for Advancing Women in Technology (CAWIT) in collaboration with  U.C. Berkeley, San Francisco State University and San José State University, through $3M in investment from Intel Corporation, KLA-Tencor Foundation, and Salesforce, will launch the Technology Pathways Initiative (TPI), to increase participation of women in CS fields through the development of new interdisciplinary CS degree programs at three pilot campuses in 2017. Prof. Tsu-Jae King Liu has been developing the Women In Technology workshop at UC Berkeley.

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NVIDIA Delivers AI Supercomputer to Berkeley

Earlier this year NVIDIA CEO Jen-Hsun Huang delivered a NVIDIA DGX-1 AI supercomputer in a box to the Berkeley AI Research Lab (BAIR). BAIR’s research is at the cutting edge of multi-modal deep learning, human-compatible AI and connecting AI with other scientific disciplines and the humanities. According to Prof. Pieter Abbeel, “More compute power directly translates into more ideas being investigated, tried out, tuned to actually get them to work.”

RISC-V (Five) is Alive!

RISC-V, an open-source instruction set architecture created at UC Berkeley is featured in an electronic design article titled “RICS-V (Five) is Alive!” RISC (Reduced Instruction Set Computer) was originally designed in 1982 by students with the direction of Professors David Patterson and Carlo Sequin. Since then, iterations of RISC have been developed. In 2010 Prof. Krste Asanovic, with the help of Prof. Patterson, decided to develop another version of RISC to help both academic and industrial users and RISC-V was published.

Ken Goldberg named Chair of IEOR

Effective January 1, 2017, Prof. Ken Goldberg will serve as Chair of the Department of Industrial Engineering & Operations Research (IEOR).  Ken is a professor of IEOR, with secondary appointments in EECS, Art Practice, the School of Information and Radiation Oncology at UCSF’s Medical School. Ken is Director of CITRIS’s People and Robots Initiative and UC Berkeley’s AUTOLAB, where he and his students pursue research in geometric algorithms and machine learning for robotics and automation in surgery, manufacturing and service applications.

Ruzena Bajcsy and Mike Stonebraker are among the "7 over 70"

A companion to Tech Review’s annual 35 Innovators Under 35 list features a list of seven innovators over 70. The new list includes EECS Professor Ruzena Bajcsy and professor emeritus Michael Stonebraker.  The 7 Over 70 list acknowledges innovators who are continuing to have sustained impacts in their field well after most of their colleagues have decided to retire.

prof. david wagner

David Wagner receives ACM SIGSAC 2016 Outstanding Innovation Award

Prof. David Wagner has won the ACM Special Interest Group on Security, Audit and Control (SIGSAC) 2016 Outstanding Innovation Award. This award is given for outstanding and innovative technical contributions to the field of computer and communication security that have had lasting impact in furthering or understanding the theory or development of secure systems. Prof. Wagner is recognized "For innovative research in systems security, software security, and cryptography that has inspired research in sandboxing, static analysis for security, and cryptanalysis."

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AMPLab ends, RISELab begins

After six years of delivering major technological advances like Apache Spark, Apache Mesos and Alluxio, the AMPLab (Algorithms, Machines and People Lab) directed by Adjunct Prof. Michael Franklin and Profs. Michael Jordan and Ion Stoica will be closing and the RISELab (Real-time Intelligent Secure Execution Lab) will take it’s place. The RISELab will continue the work of the AMPLab, tackleing the next phase in distributed computing. Prof. Ion Stoica will continue his role as director and will be joined by Prof. Joe Hellerstein and Assistant Profs. Joseph Gonzalez and Raluca Ada Popa. AMPLab End of Projects events will be held on Nov. 17 & 18, 2016 at the International House, UC Berkeley.

Meet the professor who will help robots learn common sense: Sergey Levine

Computer Science Assistant Prof. Sergey Levine is the subject of an article in BGR about machine learning titled Meet the professor who will help robots learn common sense.  “One of the things I think we’ve seen with computer vision is the bottom-up approach tends to be very effective,” Levine says. “In other words, once you figure out a good way to acquire the low-level representations — in the case of vision, things like the fact that images consist of edges — then whatever technique you use that’s general that can acquire those low-level representations will also be able to deal with the higher level stuff”

“So for me, part of the hope is if we can find the right way to acquire the low-level behaviors, the higher behaviors will begin to emerge naturally. Using the same technique just applied at a larger scale.”

Prof. Chenming Hu

Chenming Hu elected as a member of the 2017 Silicon Valley Engineering Hall of Fame

Prof. Chenming Hu has been elected to be inducted into the 2017 Silicon Valley Engineering Hall of Fame by the Silicon Valley Engineering Council (SVEC). Hall of Fame members are selected based on demonstration of significant engineering or technical achievements, provided significant guidance in new and developing fields of engineering-based technology, and/or has managed or directed an organization making noteworthy contributions in design, manufacturing, production or service through the uses of engineering principles and applications. Hall of fame members represent the cream of the crop of the Valley and, and counts among its membership people like Gordon Moore, William Hewlett and David Packard in addition to our esteemed colleagues Paul Gray, Dave Hodges, Lotfi Zadeh, David Paterson, and Ernie Kuh.

professor ruzena bajcsy

Ruzena Bajcsy awarded NAE Simon Ramo Founders Award

Prof. Ruzena Bajcsy has been awarded the National Academy of Engineering (NAE) Simon Ramo Founders Award. This award acknowledges outstanding professional, educational, and personal achievements to the benefit of society. Prof. Bajcsy has led pioneering research in electrical and computing engineering for nearly 50 years, and is honored for two groundbreaking contributions: active perception, the basic principle and methodology that combines sensing and perception with the control of sensors to build intelligent robots; and computational anatomy, the discipline that has enabled many exciting developments in medical imaging that have clinical and research applications. The impact of her work has spread far beyond the lab, spanning scientific, engineering, and health fields. Bajcsy has also been responsible for the establishment of significant institutions that promote STEM (science, technology, engineering, mathematics) education. She is the second woman to receive the Simon Ramo Founders Award.