Data Science, AI & Robotics News

An interdisciplinary team of industry and academic researchers led by Professor Alexandre Bayen has completed its most ambitious real-time traffic experiment to date

In a massive traffic experiment scientists tested whether introducing just a few AI-equipped vehicles to the road can help ease “phantom” jams and reduce fuel consumption for everyone. The answer seems to be yes.

Using advances in machine learning, two separate teams have developed approaches to shorten in-the-field training for quadruped robots in record time.

The first annual ACM conference spotlighted work where algorithms and data-driven approaches, alongside social sciences and other fields, can help solve equity and access issues affecting historically disadvantaged and underserved communities.

Aaron Streets has been named to Popular Science’s Brilliant 10, honoring trailblazing early-career scientists and engineers.

Andrew Reddie has launched the Berkeley Risk and Security Lab (BRSL), thanks to a $1.8M grant from the Founders Pledge Fund

A new UC Berkeley institute will bring together top machine learning and chemistry researchers to make this vision a reality, and a Bay Area foundation is providing a substantial gift to launch and enable this work at UC Berkeley over the next five years.

Building data tools that allow people without programming backgrounds to benefit from the latest computer science advances, the EPIC Data Lab – short for Effective Programming, Interaction, and Computation with Data, a new UC Berkeley Lab, is collaborating with end-users like public defenders to understand what important messy data challenges exist in their fields.

Machine learning using artificial intelligence has improved computer translation over the past decade, but scientific articles employing specialized jargon are still a challenge for machine translation. Nevertheless, scientists should prioritize translating articles into multiple languages to provide an equitable landscape for budding scientists worldwide, UC Berkeley researchers argue.

In a study presented at the 2022 USENIX Security Symposium, Raluca Ada Popa, associate professor, and her Ph.D. student, Jean-Luc Watson, described their innovative privacy-preserving approach to machine learning.

UC Berkeley and Imperial College London have won $5 million to create an international, interdisciplinary center aimed at advancing decentralization technology that offers users more control of their data.

In a study presented at the 2022 International Conference on Machine Learning, a UC Berkeley-led research team revealed that certain recommender systems try to manipulate user preferences, beliefs, mood and psychological state