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The 3D rendering of mitochondria overlaid by the motion map. The 3D volume was captured by a 3D SIM microscope in the Biological Imaging Facility and reconstructed by NSTM using the compute cluster from the Advanced Bioimaging Center. (Image courtesy of Ruiming Cao)

September 30, 2024

Bringing clarity to computational imaging

Berkeley researchers have developed a method to improve temporal resolution for Imaging microscopic samples. In a study published in Nature Methods, they demonstrated a new computational imaging tool, dubbed the neural space-time model (NSTM), that uses a small, lightweight neural network to reduce motion artifacts and solve for the…

September 26, 2024

AI hardware hub awarded $16.3M from DOD

Three projects in the California-Pacific-Northwest AI Hardware Hub (NW-AI-Hub) aimed at dramatically improving the energy efficiency of artificial intelligence hardware are getting a $16.3 million boost from the Department of Defense.

Media Mentions

August 30, 2024

AI Safety…Ok Doomer: with Anca Dragan

Building safe and capable models is one of the greatest challenges of our time. Can we make AI work for everyone? How do we prevent existential threats? Why is alignment so important? Join Professor Hannah Fry as she delves into these critical questions with EECS Associate Professor Anca Dragan, lead…

rise

June 7, 2024

Opaque Launches New Platform For Running AI Workloads on Encrypted Data

“The Confidential AI platform was developed at the Berkeley RISELab, a world-renowned lab known for developing technologies such as Apache Spark and Databricks. It was at this lab where the breakthrough MC2 (Multiparty Collaboration and Competition) platform was created, incubated, and open-sourced. In 2021, this platform served as the foundation…