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Tag: amcr

Berkeley Lab Staff Awarded for ECP Leadership

Group photo of ECP Leadership award recipients.

Berkeley Researchers Crack Open ‘AI-at-Scale’ Method for Chemical Science

Animation showing molecules represented as color-coded dots. The image illustrates how EScAIP optimizes reaction paths involving complex structures with many atoms, highlighting the speed and low memory usage critical to its efficiency. This method is under development by Samuel Blau and colleagues using data from the Open Catalyst Project.

A Powerful Machine Learning Algorithm that Nudges Gold Atoms Closer Together

Visualization of ion collisions captured by BNL’s STAR detector. Multicolored lines trace particle tracks, created by quarks and gluons from the collision. GPTune-enhanced collisions produce more particles, offering scientists a deeper look into subatomic behavior. The image's radiant lines form a bullseye pattern against a black background, highlighting the intricate paths of the particles.

Video: Learn About the Computing Sciences Area’s Summer Program

Berkeley Lab and Open Compute Project Collaborate to Advance Chiplet Technology for HPC

Berkeley Lab's John Shalf presenting at the 24 Computing Conference (formerly called Science and Information (SAI) Conference).

John Bell, A Pioneering Mathematician Continues to Shape the Future

John Bell

New Computer Simulations Help Scientists Advance Energy-Efficient Microelectronics

AMCR’s Donatelli Receives 2024 Early Career Award

Jeffrey Donatelli, a staff scientist in the Applied Mathematics and Computational Research Division (AMCR)

Meet Pinchen Xie, 2024 Alvarez Fellow

Pinchen Xie

gpCAM Wins R&D100 Award

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Science Highlight: Specialized Hardware Helps Researchers Quickly Process Sparse Matrices

The ASA architecture can be used to accelerate sparse accumulation for GraphBLAS to deliver much faster performance and energy efficiency for those operations.

Berkeley Lab Researchers Advance AI-Driven Plant Root Analysis

RhizoNet harnesses the power of artificial intelligence to transform how we study plant roots, offering new insights into root behavior under various environmental conditions. It uses EcoFAB (shown here), a novel hydroponic device that facilitates in-situ plant imaging by offering a detailed view of plant root systems. (Credit: Thor Swift, Berkeley Lab)
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