Data Science, AI & Robotics News

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

Tuskegee University and UC Berkeley recently announced the Berkeley-Tuskegee Data Science Initiative, a multi-year partnership to develop curriculum and collaborative research opportunities for students and faculty at both institutions.

Plenoxels surpass NeRF in every way — from their speed to their image quality — which may broaden their potential for consumer, industry and scientific applications.

For years, UC Berkeley snow hydrologist Manuela Girotto has combined disparate remote sensing datasets from satellites into models to understand snow as a water resource. In an era of extreme drought and climate change, her work is increasingly urgent. A recent rapid expansion of available observations from space could unlock important insights. But integrating that amount of data into researchers’ existing models is difficult. So when Berkeley computer science doctoral candidate Colorado Reed reached out asking how artificial intelligence could help, she saw an opportunity.

UC Berkeley formally launched this week The Sky Computing Lab aimed at establishing a two-sided market mediated by services that identify and harness for users the best combination of compatible clouds for their needs and building a new backbone for interconnected cloud computing, a milestone that would revolutionize the industry.

To find out how much interest there is in at-home medication abortions, researchers from UC Berkeley analyzed Google searches during 2020—the first year of the COVID-19 pandemic—to determine the extent to which people searched for out-of-clinic medication abortions in the U.S. through three initial search terms: home abortion, self abortion, and buy abortion pill online.