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This genome sequencing technology helps accelerate the comparison of genetic fragments with reference genomes and improve the accuracy of the results as compared to previous technologies.
NEWS
LLNL used AI to predict historic fusion ignition shot
LLNL researchers employed an AI-driven model to predict fusion ignition days ahead of the historic 2022 shot, according to a new study in Science.
LLNL pushes frontier of fusion target design with AI
Part of an AI framework called the Multi-Agent Design Assistant (MADA), LLNL scientists and collaborators are merging LLMs with simulation tools to interpret natural language prompts and using the platform to generate full physics simulation decks for LLNL’s MARBL multiphysics code.
Shifting foundations: an AI paradigm emerges in computational science
A new CASC paper proposes unity and clarity around foundation models in computational science, offering an implementation framework inspired by finite element methods.