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Innovative HPC Architectures
Increased resource utilization is one goal of new architectures. At Livermore Computing, these include AI accelerators such as Samba Nova and Cerebras systems and El Capitan's Rabbits.

Autonomous MultiScale
AMS is a machine learning solution embedded into scientific applications to automatically replace fine-scale simulations with ancillary models.

zfp
zfp is an open-source C/C++ library for compressed floating-point and integer arrays that support high throughput read and write random access.

Cindy Gonzales
Cindy Gonzales earned a bachelor’s degree and master’s degree and changed careers—all while working at the Lab. Meet the deputy director of LLNL’s Data Science Institute.

Andrew Gillette
CASC computational mathematician Andrew Gillette has always been drawn to mathematics and says it’s about more than just crunching numbers.

Angeline Lee
Angeline Lee simultaneously serves as a group leader, contributes to programmatic projects, and studies for her bachelor’s degree.

ICLR25 acceptances
LLNL researchers have posters and workshop papers accepted to the 13th International Conference on Learning Representations on April 24–28.

New nucleotide database could improve microbe identification for science and medicine
LLNL researchers have created new, optimized indices of the nt database that simplify how scientists classify microorganisms found in various samples, significantly improving the ability to identify and understand the myriad microorganisms that inhabit our world.

LLNL scientists use AI to optimize antibodies against mutations and accelerate pandemic preparedness
Researchers from LLNL, in collaboration with other leading institutions, have successfully used an AI-driven platform to preemptively optimize an antibody to neutralize a broad diversity of SARS-CoV-2 variants.