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.

Assistant Teaching Prof. and EE alumna Gireeja Ranade (MS '09/PhD '14, advisor: Anant Sahai) is part of an article in Nature titled "Junior AI researchers are in demand by universities and industry."  Ranade worked at Microsft Research in Washington after graduating from Berkeley but before joining the EECS faculty.  She discusses some of the projects she worked on, the impact that they had, and how they have influenced her teaching.  "I loved the idea that it would be different from an academic postdoc and give me exposure to real problems. It makes you more aware of the issues that product teams face; it helps you see the real challenges," she said.

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.

EECS alumnus Michael Orshansky (B.S./M.S./Ph.D. '01, adviser: Chenming Hu) has been named to the technical advisory board of eSilicon, a leading provider of FinFET ASICs, market-specific IP platforms and 2.5D packaging solutions.  Orshansky, who is currently a faculty fellow at the Department of  Electrical and Computer Engineering at the University of Texas, researches approximate computing for on-chip machine learning acceleration.  The board will focus on guiding the company’s development work associated with artificial intelligence ASICS.

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.

2014 CS Distinguished Alumna, Yoky Matsuoka (B.S. '93), has been appointed to the Board of Directors of HP Inc.  Matsuoka was the founder of Google[x], the company's innovative research and development lab, before serving as CTO of Google Alphabet's Nest business.  She was also a senior executive at Apple and an endowed professor at Carnegie Mellon University and the University of Washington.  The HP Board of Directors is said to be one of the most diverse of any technology company in the U.S.

CS grad student Lydia Liu (advisers: Michael Jordan and Moritz Hardt) has won the inaugural Microsoft Research Ada Lovelace Fellowship.  The new three-year fellowship is for PhD students at North American universities who are members of groups underrepresented in computing and pursuing research aligned to the topics carried out by Microsoft Research.  Liu's research aims to establish theoretical foundations for machine learning algorithms to achieve reliable and robust performance. The fellowship comes with a $42K stipend, tuition for three years, and an invitation to the PhD Summit, a two-day workshop where fellows will meet with Microsoft researchers and other top students to share their research.