Data Science, AI & Robotics News

In a live webcast on Tuesday, April 7, an interdisciplinary cast of Berkeley faculty members joined Nobel laureate Saul Perlmutter, director of the Berkeley Institute for Data Science, and Michael Lu, dean of Berkeley’s School of Public Health, to discuss how data is guiding our society’s response to the pandemic and how more and better data is needed to help us emerge from the crisis.

The University of California, Berkeley, and the University of Illinois at Urbana-Champaign (UIUC) are the headquarters of a bold new research consortium established by enterprise AI software company C3.ai to leverage the convergence of artificial intelligence (AI), machine learning and the internet of things (IoT) to transform societal-scale systems.

UC Berkeley’s Division of Computing, Data Science, and Society (CDSS) will soon have a brick-and-mortar home, thanks to an anonymous $252 million gift to seed the construction of a new “Data Hub” on the open space at the intersection of Hearst Avenue, Arch Street and MacFarlane Lane.

An affordable, human-friendly robot developed by Berkeley engineers is among Popular Science’s “Best of What’s New” innovations for 2019.

Zeynep Tufekci, an associate professor at the UNC School of Information and Library Science, discusses hate speech research being conducted at UC Berkeley through the Social Sciences D-Lab, focusing on corporate responsibility and the importance of preserving free speech.

As a Microsoft technical fellow, Jennifer Tour Chayes has made a name for herself as an expert in the field of network science and a leader of multidisciplinary labs that bring data science tools to bear on a wide range of problems. In January, she will leave her current position at Microsoft to become UC Berkeley’s first associate provost for the Division of Data Science and Information and Dean of the School of Information. 

Enter Blue, a new low-cost, human-friendly robot conceived and built by a team of researchers at the University of California, Berkeley. Blue was designed to use recent advances in artificial intelligence (AI) and deep reinforcement learning to master intricate human tasks, all while remaining affordable and safe enough that every artificial intelligence researcher — and eventually every home — could have one.

Cloud applications and the ever-increasing demand by large enterprises to transmit and analyze “big data” are stretching the capacity of even the largest data center servers as traditional switches become data flow bottlenecks. Ming Wu has invented a new optical, or photonic, switch capable of record-breaking speed that can be fabricated as integrated circuits so they can be mass-produced, keeping the cost per device low.

NEWS & EVENTS News Archived News CS In the News InTheLoop Seminars & Events Kathy Yelick Testifies on 'Big Data Challenges and Advanced Computing Solutions' JULY 12, 2018 Contact: John German, jdgerman@lbl.gov, +1 510-486-6601 Kathy Yelick, Associate Laboratory Director for Computing Sciences at Berkeley Lab, was one of four witnesses testifying before the U.S. House of Representatives’ Committee on Science, Space, and Technology at 7 a.m. PDT / 10 a.m. EDT on Thursday, July 12. The discussion focused on big-data challenges and advanced computing solutions.

New research suggests that bigger sample sets of human subjects may not necessarily be better.

In the past, world leaders had little but magic to predict the future. Today, they can turn to masses of data to project the future and help prepare for it.

In the world of data analytics, privacy restrictions can get in the way of analysis. It’s a classic two-edged sword, and finding a flexible but secure solution to assure both privacy and deep data access has been difficult to achieve.