Berkeley Lab Computing Sciences

@cs.lbl.gov

The Computing Sciences Area at Berkeley Lab develops cutting-edge computational methods, leverages HPC, and applies data science to drive innovation. Our four divisions—AMCR, SciData, NERSC, and ESnet—advance research in AI, math, energy, and more.

Meet GenomeOcean: #AI that “speaks” DNA! 🌊🧬 Developed @jgi.doe.gov, this generative AI model is trained on 220+ terabases of #environmental metagenomic data using @nersc.bsky.social #HPC. With 4 billion parameters, it designs novel microbial DNA sequences ➡️ bit.ly/GenomeOcean @berkeleylab.lbl.gov

GenomeOcean Leverages AI to Decode Nature’s Secret Language | Joint Genome Institute

Trained on environmental data, a new JGI tool more accurately facilitates microbial genome discoveries.

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Computational researcher Revathi Jambunathan knows that better understanding pulsars, the spectacular “cosmic lighthouses” of the universe, will lead to better particle accelerators and help us achieve the dream of fusion energy. Learn more in this video! 🎥 @cs.lbl.gov 🧪

Basics2Breakthroughs: Simulating pulsars for insights into fundamental physics

Formed from collapsed stars, pulsars are tiny astronomical objects that emit stunning, twin beams of light from each pole. Researcher Revathi Jambunathan is developing…

vimeo.com

A 2013 DOE Early Career Award let Aydin Buluç develop new graph algorithms and scalable computing, speeding discoveries from protein folding to genome assembly. Now at @berkeleylab.lbl.gov, he advances sparse computations and cross-disciplinary science: bit.ly/LBL_ab #machinelearning #ai #science

Aydin Buluç: Then and Now / 2013 Early Career Award Winner

To solve challenges with ever-larger data sets, Aydin Buluç develops algorithms to increase computers’ efficiency and reduce run time.

energy.gov