In light of the ongoing coronavirus (COVID-19) situation, we have decided to close our administrative offices starting Monday, March 16, 2020 until further notice. Cory and Soda Hall are closed. Classes are being held remotely. All events in Cory and Soda Halls will either be cancelled or held remotely, and staff will be working remotely during this time.
Third year CS graduate student Xinyun Chen (advisor: Dawn Song) has been awarded a 2020 Facebook Fellowship. Chen was recognized in the Machine Learning category for her work in neural program synthesis and adversarial machine learning. Her goal is to increase the accessibility of programming to general users, and enhance the security and trustworthiness of machine learning models. Chen has interned at both Facebook AI Research and Google Brain.
Computer Science and Global Studies double major, Jake Tibbetts, and the UC Berkeley Project on Nuclear Gaming (PONG) were awarded Best Student Game at the 2019 Serious Games Showcase and Challenge (SGS&C) for their work on SIGNAL. SIGNAL is an online three-player experimental wargame in which three countries, some armed with nuclear weapons, attempt to achieve national goals through diplomacy and conflict. It is designed to help understand the impact of emerging technologies on strategic stability and nuclear risk reduction. Tibbetts, who specializes in Peace and Conflict Studies, is a member of the Nuclear Science and Security Consortium (NSSC), a five-year program to develop a new generation of laboratory-integrated nuclear experts. SGS&C is the premier venue for recognition of excellence in the field of Serious Games development.
RISC-V, a royalty-free microprocessor architecture first developed at Berkeley, is emerging as a rival to Arm, the most successful microchip architecture in the world. The first RISC-V chip was built in 2011 as part of the open source Peer Lab Project by CS Prof. and alumnus Krste Asanović (Ph.D. '98, advisor: John Wawrzynek), CS Prof. Emeritus David Patterson, and CS alumni Andrew Waterman (M.S. 11/Ph.D. '16, advisors: David Patterson/Krste Asanović) and Yunsup Lee (M.S. '11/Ph.D. '16, advisor: Krste Asanović). Asanović, Waterman and Lee went on to found SiFive, "the first fabless semiconductor company to build customized silicon on RISC-V." Asanović explains that the architecture has gained momentum "not because it's 10% faster. It's because it's a new business model." Chip designers traditionally have to find a seller to make their microprocessors, but now designers can select RISC-V and "all suppliers compete for your business. You can add your own extensions without obtaining permission" or paying license fees.
An affordable, human-friendly robot developed by EECS Prof. Pieter Abbeel and Project Blue is among Popular Science’s “Best of What’s New” innovations for 2019. BLUE (Berkeley robot for Learning in Unstructured Environments) uses artificial intelligence and deep reinforcement learning algorithms to adapt to and operate safely in unpredictable settings, including the common household. The list is Popular Science's ranking of the year’s top 100 technologies and products, which highlight feats of engineering, breakthrough software and other acclaim-worthy discoveries from the past year. BLUE is projected to ship to consumers in the next few years,
EECS Prof. and alumna Dawn Song (Ph.D. '02, advisor: Doug Tygar) has been selected as a 2019 Fellow of the Association for Computing Machinery (ACM). Song was cited "For contributions to security and privacy" and is now part of an elite group that represents less than 1% of the Association’s global membership. As one of the world’s foremost experts in computer security and trustworthy artificial intelligence, Song founded a startup to build a new platform based on a paradigm in which people control their data and are compensated for its use by corporations. She was named to both the 2019 WIRED25 list of innovators and Inc.com's list of the 100 most innovative businesswomen in 2019. Fellows will be honored at an awards banquet in June.
EECS Prof. Trevor Darrell has been appointed chief scientist at Grabango, a provider of checkout-free technology for brick-and-mortar stores. Darrell is an expert in computer vision, machine learning and perception-based human computer interfaces, and leads the Berkeley Artificial Intelligence Laboratory (BAIR). He helped develop Convolutional Architecture for Fast Feature Embedding (Caffe), a deep-learning framework used by computer vision researchers around the world. Grabango announced earlier this year that it had signed four separate agreements with multibillion-dollar retail partners, presiding over a combined 29-million square feet of shopping space.
EECS Prof. Jaijeet Roychowdhury and his graduate student Tianshi Wang have won First Place in the 2019 Nokia Bell Labs Competition for their work on “A Classical Spin on Quantum Computing.” The pair have created a new type of processor element that will be significantly more efficient in computing the answers to discrete optimization problems. Their innovation will complement conventional digital processors (CPUs and GPUs) by efficiently tackling a wide range of computationally hard problems of importance in many diverse areas, including 5G communication systems; complex tasks in planning, scheduling and control; and even the discovery of new drugs. The first place finish comes with a prize of $100K.
The Data Science Showcase, which will highlight the amazing ways that students are using data science to advance discovery and impact across campus and beyond in over 30+ projects, will be held this Thursday, December 5, from 12 noon to 3:30 pm in Sutardja Dai Hall. The Showcase will kick off with a series of presentations in the Banatao Auditorium, followed by posters, demonstrations, and light refreshments in the adjoining Kvamme Atrium. RSVP requested.
CS Prof. Michael I. Jordan has won the prestigious John von Neumann Medal from the Institute of Electrical and Electronics Engineers (IEEE). The award was established in 1990 to acknowledge "outstanding achievements in computer-related science and technology." Jordan, who was ranked as the world's most influential computer scientist in 2016 by Science magazine, was cited for "For contributions to machine learning and data science." Jordan began developing recurrent neural networks as a cognitive model in the 1980s, was prominent in the formalisation of variational methods for approximate inference, and popularised both the expectation-maximization algorithm and Bayesian networks among the machine learning community. Jordan is the fifth Berkeley CS faculty member to win this award.
EECS Prof. Katherine Yelick was honored with an HPCwire Editor’s Choice Award for Outstanding Leadership in HPC at the 2019 International Conference for High Performance Computing, Networking, Storage and Analysis (SC19). Yelick, who serves as the Associate Laboratory Director for Computing Sciences at Lawrence Berkeley National Laboratory (Berkeley Lab) and who was the director of the National Energy Research Scientific Computing Center (NERSC) from 2008 to 2012, is widely recognized for her leadership in research to improve the programmability of high performance computing (HPC) through innovations to programming languages and runtime systems. Her contributions to design and compiler research were key to the success of patrician global address space (PGAS) for expressing applications with irregular communication patterns on parallel machines, and she is well known for co-inventing the Unified Parallel-C and Titanium languages.
