U.C. Berkeley made StudySoup's list of the top 20 female-friendly computer science programs in the country.  The graduate student group WICSE (Women in Computer Science and Engineering) is credited for the ranking because they are working to "build a more inclusive environment in the industry. In addition to outreach programs for younger students, the organization partners with research institutions and corporate partners to host workshops and network events."

CS graduate student Rebecca Portnoff (adviser: David Wagner) has developed the first algorithm to identify adult ads tied to human trafficking rings by linking the ads to public information from Bitcoin — the primary payment method for online sex ads.  “The technology we’ve built finds connections between ads,” says Portnoff.  “Is the pimp behind that post for Backpage also behind this post in Craigslist? Is he the same man who keeps receiving Bitcoin for trafficked girls? Questions like these are answerable only through more sophisticated technological tools – exactly what we’ve built in this work – that link ads together using payment mechanisms and the language in the ads themselves.”  Her team will present their findings this month at the Association for Computing Machinery’s SIGKDD Conference on Knowledge Discovery and Data Mining.

CS graduate student Grant Ho, Aashish Sharma (LBNL),  CS alumna Mobin Javed (Ph.D. 2016), and CS Profs. Vern Paxson and David Wagner have won the 2017 Internet Defense Prize, worth $100,000, for their paper "Detecting Credential Spearphishing in Enterprise Settings."  CS graduate student Thurston Dang,  Petros Maniatis (Google Brain), and Prof. David Wagner, were finalists for their paper "Oscar: A Practical Page-Permissions-Based Scheme for Thwarting Dangling Pointers."  The award, which is funded by Facebook and offered in partnership with USENIX, recognizes research that meaningfully makes the internet more secure.

Assistant Prof. Sergey Levine, Prof. Pieter Abbeel, and graduate student Chelsea Finn are featured in a CSO article highlighting research they presented at the International Conference on Machine Learning (ICML).  The research was done in partnership with the NVIDIA AI Labs (NVAIL) programme.  Levine’s team wants to help intelligent agents learn faster and require less training by teaching deep neural networks to learn more like humans.  “Look at how people do it,” said Levine. “We never learn things entirely from scratch. We draw on our past experience to help us learn new skills quickly. So we’re trying to get our learning algorithms to do the same.”  Levine and his team have been using an NVIDIA DGX-1 system to train their algorithms how to coordinate movement and visual perception.

NVAIL helps keep AI pioneers ahead of the curve with support for students, assistance from researchers and engineers, and gives them access to the industry’s most advanced GPU computing power.

CS Prof. Alexei Efros (also alumnus, Ph.D. '03) and his team have developed a new technique, leveraging deep neural networks and AI, to allow novices--even those with limited artistic ability--to quickly add realistic color to black and white images.  "The goal of our previous project was to just get a single, plausible colorization," says Richard Zhang, a coauthor and PhD candidate, advised by Efros. "If the user didn't like the result, or wanted to change something, they were out of luck. We realized that empowering the user and adding them in the loop was actually a necessary component for obtaining desirable results."  They will present their research into "Real-Time User Guided Colorization with Learned Deep Priors" at SIGGRAPH 2017 in August.

CS graduate student Aviad Rubinstein (advisor: Christos Papadimitriou)  is featured in a Quanta Magazine article titled "In Game Theory, No Clear Path to Equilibrium," which describes the results of his paper on game theory proving that no method of adapting strategies in response to previous games will converge efficiently to even an approximate Nash equilibrium for every possible game. The paper, titled Communication complexity of approximate Nash equilibria, was co-authored by Yakov Babichenko and published last September.  Economists often use Nash equilibrium analyses to justify proposed economic reforms, but the new results suggest that economists can’t assume that game players will get to a Nash equilibrium, unless they can justify what is special about the particular game in question.

Undergraduates Richard Li (CS), Veeral Patel, Yian Liou (EECS), and Roy Tu (EECS, graduated 2016) have qualified for the 2nd Annual Cambridge 2 Cambridge Cybersecurity Challenge (C2C), which will be held July 24-26, 2017 at Trinity College, University of Cambridge, in England.  Conceived as a way to create a greater cybersecurity collaboration between the US (MIT CSAIL) and UK, the C2C gives students the opportunity to explore creative ways to combat global cyber attacks and acquire and hone crucial skills.  Along with gaining a sense of accomplishment, building friendships overseas, and receiving guidance from mentors in leading security organizations,  top students will earn glory, medals, and a share of $20K in cash prizes.  The competition will be a live three-day showdown with over 100 competitors from 25 universities in the US and UK.

Zephyr, the solar vehicle built by UC Berkeley's CalSol team (including sophomore Wen Rui Liau, one of Prof. James Demmel's research students), has won the 2017 Formula Sun Grand Prix (FSGP).  The FSGP is an annual nationwide solar vehicle race that takes place on closed-loop race tracks. From July 6-8, in Austin, Texas, competing teams tested the limits of their vehicles in handling curves, braking, and acceleration.  The winner, determined by the total number of laps completed--minus penalties--over three days of racing, was Zephyr with 228 laps completed and zero penalties.

The paper titled "ESPIRiT—an eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA" co-written by Associate Prof. Michael Lustig,  his graduate student Pat Virtue, and alumnus Mark J. Murphy (Ph.D. '11 advisor: Kurt Keutzer) has been named the most-cited Magnetic Resonance in Medicine article from 2014.    The article bridges the gap between the two main approaches for parallel imaging (SENSE and GRAPPA) allowing the reconstruction of images from undersampled multicoil data.  It presents a new autocalibration technique combining the extended reconstruction of SENSE with GRAPPA-like robustness to errors.

Authors of the paper are listed as Martin Uecker, Peng Lai, Mark J. Murphy, Patrick Virtue, Michael Elad, John M. Pauly, Shreyas S. Vasanawala, and Michael Lustig.

In an article for the Daily Cal, undergraduate Taylor Choe thanks CS Assistant Teaching Prof. Josh Hug for helping her overcome her negative first impression of Berkeley and discover what makes it so special.   "My mindset going into CS 61B was definitely not a positive one. I struggled with 61A and felt discouraged, making me really come to dislike computer science." she wrote.  But Dr. Hug made her fall in love with computer science and helped her find faith in the public school system.   "You could tell that he wanted to be at lecture and wasn’t thinking about being somewhere else. His projects, homeworks and labs were entertaining and engaging, displaying the time and thought that went into each of them. He constantly emphasized the importance of being an honest person in addition to being an honest programmer. He was somehow able to make a 1,400-person class feel a little smaller. And I don’t think there is anything more you can ask of a professor, especially at a school as large as UC Berkeley."