Data Science, AI & Robotics News

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. 

In the information age, data is power, and the ability to mine it can boost business profits, save patients’ lives and aid government security. 

Alexandre Bayen and PhD student Pulkit Agrawal developed a computer vision-based system to help memory care centers monitor patient falls and to reduce them where possible.

The grants recognize the campus’s leadership in data science education.

A UC Berkeley Ph.D. candidate has developed the first automated techniques to identify adult ads tied to human trafficking rings by linking the ads to public information from Bitcoin — the primary payment method for online sex ads.

Signatures Fellow Lisa Garcia Bedolla works to help more people join in the political process, locally and nationally.