News

Nine papers make four Top 10 lists in TOPBOTS AI research rankings

9 papers co-authored by 6 EECS faculty, 13 students,  3 post docs, and 3 alumni have made it into the Top 10 research papers ranked by TOPBOTS in four categories of AI Research. TOPBOTS is the largest publication, community, and educational resource for business leaders applying AI to their enterprises.  3 papers co-authored by Sergey Levine made the #1, #3, and #9 spots in "What Are Major Reinforcement Learning Achievements & Papers From 2018?"  A paper co-authored by Moritz Hardt ranked #5 in "Top 2018 AI research papers" and #3 in  "Recent Breakthrough Research Papers In AI Ethics." A paper co-authored by Jitendra Malik ranked #7 in the Top 2018 papers and #5 in "10 Cutting Edge Research Papers In Computer Vision & Image Generation."  The #2 Top 2018 paper was co-authored by David Wagner, and a paper co-authored by Alexei Efros ranked #9 in the Computer Vision category.

"Computer Architecture: A Quantitative Approach" wins 2019 Texty

"Computer Architecture: A Quantitative Approach," 6th ed. by Prof. Emeritus David Patterson and John Hennessy has won a 2019 Textbook Excellence Award ("Texty") from the Text and Academic Authors Association (TAA).  Textys recognize excellence in current textbooks and learning materials. Works are judged by other textbook authors and subject matter experts who evaluate pedagogy, content/scholarship, writing, and appearance/design.  Patterson won a Most Promising New Textbook Award in 2016 for "Engineering Software as a Service: An Agile Approach Using Cloud Computing," 1st ed. co-authored by Prof. Armando Fox, and a McGuffey Longevity Award in 2014 for "Computer Organization and Design," 
5th ed. (also with Hennessy).

'Ambidextrous' robots could dramatically speed e-commerce

CS Prof. Ken Goldberg and members of the AUTOLAB including postdoc Jeffrey Mahler (Ph.D. '18), grad students Matthew Matl and Michael Danielczuk, and undergraduate researcher Vishal Satish, have published a paper in Science Robotics which presents new algorithms to compute robust robot pick points, enabling robot grasping of a diverse range of products without training.  They trained reward functions for a parallel-jaw gripper and a suction cup gripper on a two-armed robot, and found that their system cleared bins with up to 25 previously unseen objects at a rate of over 300 picks per hour with 95 percent reliability.

Researchers capture an image of negative capacitance in action

For the first time ever, an international team of researchers--led by Prof. Sayeef Salahuddin--imaged the microscopic state of negative capacitance. This novel result provides researchers with fundamental, atomistic insight into the physics of negative capacitance, which could have far-reaching consequences for energy-efficient electronics.  “The upshot is that the opposite relation between charge and voltage could locally enhance the voltage across the common dielectric material,” said Salahuddin. “The voltage ‘amplification’ gained could be used to reduce the supply voltage requirement in a transistor, thus making computers and other electronic devices more energy-efficient.”

SinBerBEST 2 sweeps Building and Environment Best Paper Awards

Research collaboration between Singapore–Berkeley Building Efficiency and Sustainability in the Tropics (SinBerBEST 2 -- part of the Berkeley Education Alliance for Research in Singapore center) led by EE Prof. Costas Spanos, and UC Berkeley’s Center for the Built Environment (CBE) resulted in three 2018 Building and Environment Best Paper Awards.  The awards, which are presented annually by the Building and Environment journal, recognize originality, contributions to the field, quality of presentation, and soundness of science.   The honored papers were titled "Automated Mobile Sensing: Towards High-Granularity Agile Indoor Environmental Quality (IEQ) Monitoring," "Development of the ASHRAE Global Thermal Comfort Database II," and "Personal Comfort Models: Predicting Individuals’ Thermal Preference Using Occupant Heating and Cooling Behavior and Machine Learning."

Wireless ‘pacemaker for the brain’ could be new standard treatment for neurological disorders

A new neurostimulator, described in a paper co-authored by EE Prof. Jan Rabaey, Prof. Jose Carmena, Assistant Prof. Rikky Muller, grad students Andy Zhou, George Alexandrov and Ali Moin, and alumnus Fred Burghardt (B.S. '92/M.S. '94), in the journal Nature Biomedical Engineering, works like a “pacemaker for the brain" to both monitor electrical activity and therapeutically stimulate electric current to the brain at the same time.  The device, named the WAND, could potentially deliver fine-tuned treatments to patients with diseases like epilepsy and Parkinson’s.  Muller's research is part of the CZ Biohub, a division of the $5 billion Chan Zuckerberg Initiative.   Rikky Muller and Jose Carmena are both scheduled to present their work at the 2019 BEARS symposium in February titled "The Future of Medicine: An EECS Perspective."

Study shows playing high school football changes the teenage brain

A research study led by EE Prof. Chunlei Liu (senior author) and postdoc Nan-Ji Gong (first author), which is the cover story of the November issue of Neurobiology of Disease, found that a single season of high school football may be enough to cause microscopic changes in the structure of the brain.  The team (which included researchers from Duke and UNC Chapel Hill) used a new type of magnetic resonance imaging (MRI) to take brain scans of 16 high school players, ages 15 to 17, before and after a season of football. They found significant changes in the structure of the grey matter in the front and rear of the brain, where impacts are most likely to occur, as well as changes to structures deep inside the brain.  This is one of the first studies to look at how impact sports affect the brains of children at this critical age.

Skin-like sensor maps blood-oxygen levels anywhere in the body

A new flexible sensor developed by Berkeley EE researchers can map blood-oxygen levels over large areas of skin, tissue and organs, potentially giving doctors a new way to monitor healing wounds in real time.  The research group, which includes Prof. Ana Claudia Arias, Yasser Khan, Donggeon Han, Adrien Pierre, Jonathan Ting, Xingchun Wang and Claire Lochner (plus researchers from Cambridge Display Technology Ltd), have created a lightweight, thin, and flexible oximeter made of organic electronics printed on bendable plastic that molds to the contours of the body.  The sensor, which is described in this week's Proceedings of the National Academy of Sciences, is made of an alternating array of printed light-emitting diodes and photodetectors and can detect blood-oxygen levels anywhere it is placed. The sensor shines red and infrared light into the skin and detects the ratio of light that is reflected back.

Berkeley computer theorists show path to verifying that quantum beats classical

UC Berkeley computer theorists led by CS Prof. Umesh Vazirani,  published a proof of random circuit sampling (RCS) as a verification method to prove quantum supremacy in a paper published Monday, Oct. 29, in the journal Nature Physics.  Quantum supremacy is the term that describes a quantum computer’s ability to solve a computational task that would be prohibitively difficult for any classical algorithm.  “Besides being a milestone on the way to useful quantum computers, quantum supremacy is a new kind of physics experiment to test quantum mechanics in a new regime. The basic question that must be answered for any such experiment is how confident can we be that the observed behavior is truly quantum and could not have been replicated by classical means. That is what our results address,” said Vazirani.

IP paper wins 2018 ACM SenSys Test of Time Award

A paper written by CS Prof. David Culler and alumnus Jonathan Hui (M.S. '05/Ph.D. '08) in 2008 titled "IP is Dead, Long Live IP for Wireless Sensor Networks" has won the Association of Computing Machinery (ACM) Conference on Embedded Networked Sensor Systems (SenSys) 2018 Test of Time Award.  The paper dispelled the notion that IP cannot run on wireless embedded sensors and made a long term impact  on standards like 6LoWPAN and platforms like Thread.  The award recognizes papers that are at least 10 years old and have had long lasting impact on networked embedded sensing system science and engineering.  Culler previously won this award in both 2014 and 2015.