CS Prof. Pieter Abbeel has been interviewed as a Featured ACM Member. As part of the “People of ACM” bulletin, Abbeel details the groundbreaking work that led to his 2021 ACM Prize in Computing, and the direction of the field of AI and robotics in the warehousing industry and beyond. Given the different specializations required to pursue AI, he gives the following advice to the next generation of AI researchers: “In terms of foundations, basic mathematics such as calculus, probability, linear algebra are very important, and also optimization,” said Abbeel. “Taking physics classes can be very helpful, as it teaches you the skill of abstracting real world problem settings into equations." Prof. Abbeel is the director of the Berkeley Robot Learning Lab and co-director of the Berkeley Artificial Intelligence Research (BAIR) lab, in addition to Co-Founder, President, and Chief Scientist of Covariant, a Berkeley-based AI robotics company.

Berkeley Artificial Intelligence researchers are joining forces with climate experts, government agencies, and industry, as part of the new Berkeley AI Research (BAIR) Climate Initiative, a multi-disciplinary student-led hub dedicated to fighting climate change.  The effort is being led by co-founding director CS Prof. Trevor Darrel and organized by three of his graduate students, Colorado Reed (co-advised by Kurt Keutzer), who will help lead the initiative, Medhini Narasimhan, and Ritwik Gupta (co-advised by Shankar Sastry).  Their objective is to develop AI techniques that address problems with data processing, particularly involving massive data sets. To maximize the benefit to other researchers studying the same problems around the world, all work done by the initiative will be openly published and available without exclusive or proprietary licensing.  One of their first projects, “The Fate of Snow,” will be a collaboration between BAIR Climate Initiative researchers and other scientists and policy experts on the Berkeley campus, Berkeley Lab (LBNL), Meta AI (which belongs to Meta Platforms, Inc.) and the Center for Western Weather and Water Extremes. The researchers plan to apply AI methods to a multitude of openly available weather and satellite data sources to estimate how much water is in the Sierra Nevada snowpack and forecast what that will mean for streadmflow in the region.

Sky Computing Lab, the latest 5-year collaborative research lab launched out of Berkeley EECS, aims to build a new backbone for interconnected cloud computing, a milestone that would revolutionize the industry. The lab will leverage distributed systems, programming languages, security, and machine learning to decouple the services that companies want to implement from the choice of a specific cloud, with the goal of transforming the cloud into an undifferentiated commodity, much like the Internet. Google, IBM, Intel, Samsung SDS, and VMware are among the founding sponsors of the lab. The lab's team is comprised of over 60 members, including students, staff, and EECS faculty like Alvin Cheung, Natacha Crooks, Ken Goldberg, Joseph Gonzalez, Joe Hellerstein, Mike Jordan,  Anthony Joseph, Raluca Ada Popa, Koushik Sen, Scott Shenker, and Dawn Song. CS Prof. Ion Stoica, who will lead the lab, says “Sky will knock out current barriers and accelerate the transition to the cloud, which will accelerate the progress across different fields.”

EECS Prof. Emeritus Kam Lau, has won the 2022 California Institute of Technology Distinguished Alumni Award, the highest honor presented by Caltech to its alumni.  He was cited "for extraordinary contributions to society as an engineer, entrepreneur, and artist." Lau is known for his pioneering developments and commercialization of RF over fiber devices, systems and applications, which helped launch the microwave photonics industry.  He received his B.S., M.S., and Ph.D degrees from Caltech in 1978, 1978 and 1981, respectively.  Before coming to Berkeley in 1990, he was founding chief scientist of Ortel Corporation, and a professor at Columbia University.  He subsequently  co-founded LGC Wireless with some of his Berkeley colleagues.  Lau is also an accomplished ink painting artist.  At age 16, his work was accepted into the 1972 Hong Kong Contemporary Art Exhibition, a venue for professional artists, and one of his pieces was acquired by the Hong Kong Museum of Art for its permanent collection.

Databricks, a cloud startup founded by CS Adjunct Assistant Prof. Ali Ghodsi, CS Prof. Scott Shenker, CS Prof. Ion Stoica, and alumni Andrew Konwinski (M.S. '09/Ph.D. 12, advisor: Randy Katz), Reynold Xin (Ph.D. '13, advisor: Ion Stoica), Patrick Wendell (M.S. '13, advisor: Ion Stoica), and Matei Zaharia (Ph.D. '13, advisors: Scott Shenker & Ion Stoica), has received $1 billion in a Series G funding round.  Franklin Templeton led the round and now values the company at $28 billion.  Amazon Web Services, CapitalG, the growth equity arm of Google parent Alphabet, and Salesforce Ventures are backing Databricks for the first time, while Microsoft joins a group of existing investors including BlackRock, Coatue, T. Rowe Price and Tiger Global.  Ghodsi, who is CEO of the company, says Databricks plans to use the funds to accelerate its international presence. “This lets us really hit the gas and go aggressive in these big markets. It’s almost like starting the company all over again,” he says.  Databricks grew out of the AMPLab project and is built on top of Apache Spark, an open-source analytics tool developed at Berkeley.  The company provides data analytics and AI tools to businesses.  It has grown more than 75% year-over-year, with the majority of its revenue coming from enterprises like Comcast, Credit Suisse, Starbucks and T-Mobile, who use it as a "data lake house"--a place to store structured and unstructured data, then layer business intelligence or machine-learning tools easily on top.

Ambidextrous, a company co-founded in 2018 by CS Prof. Ken Goldberg, his graduate student Jeffrey Mahler (CS Ph.D. '18), and AutoLab postdocs (and ME alumni) Stephen McKinley (M.S. '14/Ph.D. '16) and David Gealy (B.S. '15), has won the inaugural Silicon Valley Robotics (SVR) ‘Good Robot’ Innovation and Overall Excellence Industry Award.  Ambidextrous utilizes an AI-enhanced operating system, Dexterity Network (Dex-Net) 4.0, that empowers versatile robots for automated e-commerce order fulfillment by allowing them to learn to pick, scan, and pack a wide variety of items in just a few hours.  This universal picking (UP) technology has enabled new levels of robotic flexibility, reliability, and accuracy.

CS Prof. Ken Goldberg is the co-author of a study published in Science Robotics which describes the creation of a new artificial intelligence software that gives robots the speed and skill to grasp and smoothly move objects, making it feasible for them to soon assist humans in warehouse environments.  He and postdoc Jeffrey Ichnowski had previously created a Grasp-Optimized Motion Planner that could compute both how a robot should pick up an object and how it should move to transfer the object from one location to another, but the motions it generated were jerky.  Then they, along with EECS graduate student Yahav Avigal and undergraduate (3rd year MS) student Vishal Satish, integrated a deep learning neural network into the motion planner, cutting the average computation time from 29 seconds to 80 milliseconds, or less than one-tenth of a second.  Goldberg predicts that, with this and other advances in robotic technology, robots could be assisting in warehouse environments in the next few years.

EECS alumnus and Prof. Ali Niknejad (M.S. '97/Ph.D. '00, advisor: Robert Meyer) has won the 2020 Semiconductor Industry Association (SIA) University Research Award.  This award recognizes researchers in both technology and design who have made “a lifetime of great impact to the semiconductor industry.”  Niknejad was cited for “noteworthy achievements that have advanced analog, RF, and mm-wave circuit design and modeling, which serve as the foundation of 5G+ technologies.”  Stanford ME Prof. Kenneth Goodson also won the award this year.  “Research is the engine of innovation in the semiconductor industry, enabling breakthroughs that power our economy and help solve society’s great challenges,” said John Neuffer, SIA president and CEO. “The work of Drs. Goodson and Niknejad has greatly advanced chip technology and helped keep America at the leading edge of innovation.”  Niknejad, who previously received the 2012 ASEE Frederick Emmons Terman Award for his textbook on electromagnetics and RF integrated circuits, will accept the SIA award during the 2020 SIA Leadership Forum and Award Celebration on November 19th.