Our newsletter is a compendium of breaking news, the latest research, outreach efforts, and more.
Highlights include research in feedstock optimization, a video playlist of virtual seminars, the kickoff of summer internships, several scientific publications, a new career panel series, and a spotlight on data scientist Jose Cadena Pico.
Read Volume 8 of the newsletter. Published on June 10, 2021.
Highlights include new research in machine learning robustness, LLNL’s Women in Data Science regional event, a Machine Learning for Industry Forum, papers accepted to a prominent computer vision conference, and a spotlight on data scientist Olivia Miano.
Read Volume 7 of the newsletter. Published on May 4, 2021.
Highlights include a paper accepted as an Oral Presentation at ICLR, winter conferences roundup, a virtual seminar on deep generative methods, and news about the upcoming Data Science Challenge internship.
Read Volume 6 of the newsletter. Published on March 10, 2021.
Highlights include machine learning models and HPC hardware investments to aid COVID-19 research, the latest on summer internships, a virtual seminar, and updates from the premier supercomputing conference.
Read Volume 5 of the newsletter. Published on December 22, 2020.
Highlights include recognitions for two researchers, paper acceptances into a top machine learning conference, university collaborations for predictive science advancements, a virtual seminar, and a summer program leadership change.
Read Volume 4 of the newsletter. Published on October 26, 2020.
Highlights include machine learning advances combined with 3D printing, aortic blood flow modeling, student presentations at LLNL's Summer Slam, two seminar recaps, and the Deputy Director’s S&T Excellence in Publication Awards.
Read Volume 3 of the newsletter. Published on September 1, 2020.
Highlights include paper acceptances at a high-profile event, new research in surrogate models, and a team of machine learning experts.
Read Volume 2 of the newsletter. Published on July 15, 2020.