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.

NTT Research has announced that it has entered into a three-year Industrial Partnership with the UC Berkeley Simons Institute for the Theory of Computing.  The partnership, which will extend from September  2019 through August  2021, will enable NTT Research’s Cryptography and Information Security (CIS) Lab to join all Simons Institute events, invite select Simons program participants and fellows to one-day visits to NTT Research, and hold a dedicated desk in the Calvin Lab.  The Simons Institute brings the world’s top theoretical computer scientists together with the next generation of scholars to explore problems about the nature and limits of computation.

CS alumnus Feng Zhou (Ph.D. '07, advisor: Eric Brewer) is the subject of a Bloomberg article titled "The U.S.-trained coder is helping NetEase find new life beyond games."  To help the company remain competitive, NetEase Youdao CEO Zhou is creating an all-in-one learning platform to tap the lucrative overlap between education and technology.  Addressing the pressure many Chinese families feel to prepare children for college entrance exams starting as early as Kindergarten, Zhou says courses can be taught through high-speed live-streaming, enabling smooth communication between teacher and student. Artificial intelligence-powered tutors can grade homework and use data to evaluate student test results.  “That’s what we have always been good at,” said Zhou. “Almost every industry in China has been transformed by the internet, but that’s not yet the case for education.”

EECS Profs. Hany Farid and Alexei Efros will be working with Facebook to help develop new methods to improve detection of fake content, fake news and misinformation campaigns. Facebook has launched $7.5 million partnership with three universities, including UC Berkeley, to create the technology.  Farid is a long-time crusader for holding social media companies accountable for removing and preventing harmful content, and Efros specializes in artificial intelligence, graphics and computer vision.  Some immediate steps that can be taken include having the company hire more people to monitor the site, charging a nominal fee to use the service, redefining Facebook and other tech giants as publishers--rather than as platforms, and creating unambiguous rules.

CS Adjunct Prof. Ali Ghodsi is on Solutions Review's list of "The 10 Coolest Data Science and Machine Learning CEOs."  Ghodsi is the CEO and co-founder of Databricks, and responsible for the growth and international​ ​expansion of the company.  He previously served as the VP of Engineering and Product​ ​Management before taking the role of CEO in January 2016.  Ghodsi is on the board of the RiseLab and  was one of the creators of the open source project Apache Spark.

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.

CS alumna Diane Greene (M.S. '88) has won a 2019 U. C. Berkeley Campanile Excellence in Achievement Award.  This award "recognizes an alumnus/a whose remarkable professional achievements reflect the excellence of a UC Berkeley education" and is co-presented every year by the UC Berkeley Foundation and the Cal Alumni Association.  Greene recently served as the CEO of Google's cloud business and was a founder and CEO of VMware.  She will be formally presented with her award at the Berkeley Charter Gala on May 16, 2019.

The EECS Distinguished Alumni Awards recognize the valuable contributions of its most distinguished alumni. The 2019 EE distinguished alumni are Sharad Malik (M.S. '87/EE Ph.D '90, advisor: Robert k. Brayton), Chair of Electrical Engineering at Princeton; and Dr. Ahmad Bahai (EE Ph.D '94, advisor: Pravin Varaiya), CTO of Texas Instruments. The 2019 CS distinguished alumni are Andrew Ng (CS Ph.D. '03, adviser: Michael Jordan), Stanford Professor; and Dr. Amin Vahdat (B.S. '92/ CS Ph.D.'98, advisor: Thomas Anderson), Technical Lead for networking at Google, and Google Fellow. The award presentation will be at BEARS on February 14, 2019.

ACM A.M. Turing Award Laureate and database technology pioneer Prof. Emeritus Michael Stonebraker will deliver the opening keynote at Data Summit 2019, titled “Big Data, Technological Disruption, and the 800-Pound Gorilla in the Corner.”  Stonebraker was the main architect of the INGRES relational DBMS, and the object-relational DBMS, POSTGRES, developed at U.C. Berkeley. The Data Summit brings together corporations, government agencies, and public institutions to learn about the leading technologies and strategies for succeeding in this increasingly data-driven world.