News

Algorithm probes how AIs reason

Quartz  explores an algorithm devised by CS Prof. Trevor Darrell, L&S CS undergraduate student Dong Huk Park, CS grad student Lisa Anne Hendricks, and postdoc Marcus Rohrbach, along with researchers in the Max Planck Institute for Informatics,  in an article titled "We don’t understand how AI make most decisions, so now algorithms are explaining themselves." Engineers have developed deep learning systems that ‘work’ without necessarily knowing why they work or being able to show the logic behind a system’s decision.   The algorithm uses a “pointing and justification” system, to point to the data used to make a decision and justify why it was used that way.

Nicholas Weaver concludes "the Russians stole the data"

Alumnus Nicholas Weaver (CS B.A. '95/ Ph.D. '03), who now works at the International Computer Science Institute (ICSI) as a security expert, was interviewed by Leandra Bernstein of ABC 33/40 for an in-depth article titled Questions remain over Russian responsibility for passing stolen DNC emails to WikiLeaks.  "All the evidence, both public and still secret, points towards the Russians having stolen the emails, while there is effectively no evidence for any competing hypothesis," Nicholas said.

Jacobs Hall receives LEED Platinum certification for sustainability

Jacobs Hall, home of the  Jacobs Institute for Design Innovation has received a Platinum certification from the U.S. Green Building Council’s Leadership in Energy and Environmental Design (LEED) program.  LEED scores buildings on how well they meet various measures of sustainability and Platinum is the highest level of certification possible. Jacobs Hall is the first UC Berkeley facility to achieve platinum status.

Jun-Yan Zhu creates algorithms for the artistically challenged

CS graduate student Jun-Yan Zhu (adviser: Alexei Efros) is the subject of an article in California Magazine titled "Paint by Numbers: Algorithms for the Artistically Challenged."  Zhu and his team apply the tools of machine learning to computer graphics.  For example, in the team's most recent project, they developed software that lets users easily create realistic images from the crudest brushstrokes.  Their research projects have yielded potential applications from improving online searching and e-commerce to art and fashion.

Computational Imaging proposal accepted for collaborative research initiative

A Computational Imaging research proposal submitted by EE Associate Prof. Laura Waller, EE Associate Prof. Michael Lustig, CS Assistant Prof. Ren Ng, CS Assistant Prof. Jonathan Ragan-Kelley, and CS Associate Prof. Benjamin Rechts has been accepted as part of a set of cross-disciplinary activities planned for development by Berkeley Research.  Berkeley Research ran eight faculty forums on a wide range of topics and received 30 proposals which were reviewed by a faculty panel and discussed with the Deans.  The selected projects "hold great promise for Berkeley to be at the forefront of developing a positive vision for the future."

EECS students win four CRA outstanding undergraduate research awards

All four EECS undergraduates nominated for 2017 Computing Research Association (CRA) research awards were recognized this year.  EECS undergraduate Smitha Milli won the CRA Outstanding Undergraduate Researcher Award for the female category, Jingyi Li won 2nd place nationally, receiving Runner-up in the female category, Ashvin Nair received Finalist recognition for the male category, and L&S CS undergraduate Xinyang (Young) Geng received Honorable Mention for the male category.

UC Berkeley is ranked #1 school for coding in the US

According to Business Insider, most college computer science rankings only include factors like the number of research papers published, global reputation, etc., while ignoring practical coding skills. HackerRank, a free coding practice website that allows developers to hone their coding skills by solving challenges, launched a University Rankings Competition to figure out which schools produce the best coders.  Berkeley was ranked #1 in America and #4 internationally out of over 5,000 participants from 126 schools. 

Center for Advancing Women in Technology logo

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.

Berkeley AI Research Lab logo

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.”