News

Michael Jordan on the goals and remedies for AI

CS Prof. Michael Jordan has written a commentary in the Harvard Data Science Review (HDSR) titled "Dr. AI or: How I Learned to Stop Worrying and Love Economics" (a play on the title of the film Dr. Strangelove).  In it, he  argues that instead of trying to put "‘thought’ into the computer, and expecting that ‘thinking computers’ will be able to solve our problems and make our lives better," he explores the prospect of bringing microeconomics "into the blend of computer science and statistics that is currently being called ‘AI.'"

Robert J. Wood's RoboBee X-Wing flies solo

An untethered bee robot co-created by EE alumnus Robert J. Wood (PhD '04, advisor: Ron Fearing) graces the cover the of the June 2019 issue of Nature magazine and is the subject of a Wired article titled "What Could Possibly Be Cooler Than RoboBee? RoboBee X-Wing."  Wood, now a professor of engineering and applied sciences at Harvard, is one of the creators of the RoboBee X-Wing, an aerial vehicle the size of an insect that is capable of untethered flight.  It has four wings driven by two piezoelectric actuators and carries a 60-mg photovoltaic array and a 91-mg signal generator, giving it a thrust efficiency matching that of similarly sized insects.

Shruti Agarwal and Hany Farid use facial quirks to unmask ‘deepfakes’

CS graduate student Shruti Agarwal and her thesis advisor Prof. Hany Farid have created a new weapon in the war against "deepfakes," the hyper-realistic AI-generated videos of people appearing to say and do things they never actually said or did.  The new forensic technique, which uses the subtle characteristics of how a person speaks to recognize whether a new video of that individual is real, was presented this week at the Computer Vision and Pattern Recognition conference in Long Beach.  “The basic idea is we can build these soft biometric models of various world leaders, such as 2020 presidential candidates," said Farid, "and then as the videos start to break, for example, we can analyze them and try to determine if we think they are real or not.”

Elizaveta Tremsina is 2019 ACM SRC Grand Finals Winner

A paper written by recent graduate Elizaveta Tremsina (B.S. '19 CS/Physics/Applied Math) has taken third place in the undergraduate category of the 2019 ACM Student Research Competition (SRC) Grand Finals.  The paper, titled "Your Story Recorded in a Magnet: Micromagnetic Simulations of Spin-Orbit Torque in Multi-layer Structures," was a continuation of the first place poster she presented at the 2018 Richard Tapia Celebration of Diversity in Computing.    "I am extremely thankful to the Berkeley EECS department for the amazing 4.5 years and for the unique chance to participate in cutting-edge research with Dr. Salahuddin's group and also attend the Tapia conference (my first one back in 2016 and last year)," she said. "I hope that more Berkeley undergrads participate in this competition in the future, be it at Tapia or other ACM conferences."  Tremsina was presented with her award at the ACM awards banquet last weekend.

Berkeley paper wins 2018 IEEE EDS George E. Smith Award

"Improved Subthreshold Swing and Short Channel Effect in FDSOI n-Channel Negative Capacitance Field Effect Transistors," has won the 2018 IEEE Electron Devices Society (EDS) George E. Smith Award.  The paper was co-authored by current postdoc Korok Chatterjee, graduate student Ava J. Tan, former postdocs Daewoong Kwon,  Angada B. Sachid, Ajay K. Yadav and Hong Zhou, EE Profs. Chenming Hu and Sayeef Salahuddin, and LBNL's Roberto dos Reis. The award recognizes the best paper appearing in a fast turn around archival publication of the IEEE Electron Devices Society, targeted to IEEE Electron Device Letters.

Justin Yim wins Best Student Paper Award at ICRA 2019

EECS PhD student Justin Yim (with advisor EECS Prof. Ron Fearing and ME undergraduate co-author Eric Wang) has won the best student paper award at the 2019 IEEE International Conference on Robotics and Automation (ICRA) (May 20-24, Montreal) for his paper "Drift-free Roll and Pitch Estimation for High-acceleration Hopping."  The robot "Salto" (Saltatorial Agile Locomotion on Terrain Obstacles) was previously restricted to only indoor operation in a room equipped with a motion tracking system. In the newest paper, Salto can now estimate its own position by combining its onboard inertial sensor with a model of its takeoffs and landings. This improved estimate allows
Salto to hop outside with human steering.

Tianshi Wang and Jaijeet Roychowdhury win UCNC 2019 Best Paper Award

A paper co-authored by freshly minted alumnus Tianshi Wang (Ph.D. '19, winner of the 2019 EECS David Sakrison Memorial Prize for "truly outstanding research") and Prof. Jaijeet Roychowdhury has won Best Paper Award at the International Conference on Unconventional Computation and Natural Computation (UCNC) 2019.  The paper, titled "OIM: Oscillator-based Ising Machines for Solving Combinatorial Optimisation Problems" will be presented at the conference in Japan next week.

With a hop, a skip and a jump, Salto leaps over obstacles with ease

Salto the robot, first unveiled in 2016 by the Biomimetic Millisystems Lab, is now equipped with a slew of new skills, giving it the ability to bounce in place like a pogo stick and jump through obstacle courses like an agility dog. Salto can even take short jaunts around campus, powered by a radio controller.  Salto creators Justin Yum, Eric Wang and Ronald S. Fearing will describe the robot’s new skills today (Tuesday, May 21) at the 2019 International Conference on Robotics and Automation in Montreal.

Chelsea Finn wins 2018 ACM Doctoral Dissertation Award

Recent graduate Chelsea Finn (Ph.D. '18, advisors: Pieter Abbeel and Sergey Levine), has won the prestigious ACM Doctoral Dissertation Award. This award is presented annually to "the author(s) of the best doctoral dissertation(s) in computer science and engineering."  In her dissertation, "Learning to Learn with Gradients," Finn introduced algorithms for meta-learning that enable deep networks to solve new tasks from small datasets, and demonstrated how her algorithms can be applied in areas including computer vision, reinforcement learning and robotics.  Finn  is currently a research scientist at Google Brain, a post-doc at the Berkeley AI Research Lab (BAIR), and an acting assistant professor at Stanford.  Last year's recipient, Aviad Rubinstein, was also a Berkeley EECS alum.

Soham Phade and Venkat Anantharam win GameNets Best Paper Award

Graduate student Soham Phade and his advisor, Venkat Anantharam, have won the Best Paper Award at the 9th EAI International Conference on Game Theory for Networks (GameNets 2019).  Their paper, titled "Optimal Resource Allocation over Networks via Lottery-Based Mechanisms," was in the Games for Economy and Resource Allocation category.  Phade's current focus is on "designing market-based mechanisms and algorithms on presumably more accurate models of human behavior from psychology and decision theory, for increasing human welfare and for building more efficient commercial systems that interact with humans."