publications

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October 23, 2019

“Oracle-Guided Component-Based Program Synthesis” wins 2020 ICSE Most Influential Paper Award

The paper “Oracle-Guided Component-Based Program Synthesis,” co-authored by alumnus Susmit Jha (M.S./Ph.D. ’11), Sumit Gulwani (Ph.D. ’05, advisor: George Necula), EECS Prof. Sanjit A. Seshia, and Ashish Tiwari–and part of Susmit Jha’s Ph.D. dissertation advised by Sanjit Seshia–will receive the 2020 Most Influential Paper Award by the ACM/IEEE International Conference on Software Engineering (ICSE). ICSE is…

Weicheng Kuo, Christian Hӓne, and Jitendra Malik

October 23, 2019

Using deep learning to expertly detect hemorrhages in brain scans

A computer algorithm co-developed by Vision Group alumnus Weicheng Kuo (Ph.D. ’19), post doc Christian Hӓne, their advisor Prof. Jitendra Malik, and researchers at UCSF, bested two out of four expert radiologists at finding tiny brain hemorrhages in head scans, an advance that one day may help doctors treat patients…

Stuart Russell, Human Compatible AI and the Problem of Control

October 8, 2019

How to Stop Superhuman A.I. Before It Stops Us

EECS Prof. Stuart Russell has penned a New York Times Op-Ed titled “How to Stop Superhuman A.I. Before It Stops Us,” in which he explains why we need to design artificial intelligence that is beneficial, not just smart.  “Instead of building machines that exist to achieve their objectives,” he…

Ming Wu and Youming Wang with 2D OPA (photo: Adam Lau/Berkeley Engineering)

August 29, 2019

New chip could lead to cheaper and better medical imaging devices and self-driving cars

Berkeley researchers, including EECS Prof. Ming Wu and his former postdoc Youming Wang,  have created the fastest silicon-based, programmable two-dimensional optical phased array, built on micro-electro-mechanical systems (MEMS).  They achieved a resonance frequency of 55 kilohertz that corresponded to a response time of 5.7 microseconds, almost 1,000 times faster than…

GauGAN team at SIGGRAPH 2019

August 5, 2019

GauGAN AI art tool wins two major awards at SIGGRAPH 2019 Real-Time Live Competition

A viral real-time AI art application, co-created by three current and former graduate students of CS Prof. Alexei Efros, has won two coveted awards–Best in Show and Audience Choice–at the SIGGRAPH 2019 Real-Time Live Competition.  The interactive application, called GauGAN, was co-created by Ph.D. candidate Taesung Park during a summer…

PVDF cockroach-inspired robot (photo: Stephen McNally)

August 3, 2019

You can’t squash this roach-inspired robot

Research co-authored by grad student Justin Yim and EE Profs. Ron Fearing and Robert Full, among others, has resulted in the creation of a small cockroach-inspired robot so hardy that it can survive being crushed underfoot.  The robot, which is about the size of a large postage stamp, is made…