Why are GPUs Exciting for Machine Learning Research?

NVIDIA A100 graphics card

Machine Learning systems are often configured around Graphics Processing Units (GPUs) rather than Central Processing Units (CPUs). Why should this be the case, in an era when CPUs are powerful and (relatively) inexpensive? This article provides some insights into what GPUs are and why they provide advantages for certain types of computations, including some commonly used for machine learning and modeling.

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Free Online Courses for Machine Learning

There are a lot(!) of free online resources available if you want to learn practical machine learning skills, workflows, and processes. This post highlights some recommendations by Thomas Martin, an AI/ML Software Engineer at the Unidata,

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Unidata To Debut AI-Augmented Tools

Robot holding thermometer

The Unidata Program Center (UPC) software development team has been searching for ways to leverage the technologies behind popular packages like ChatGPT and Stable Diffusion to help Earth Systems Sciences researchers, educators, and students reach scientific conclusions more quickly and with less effort. Augmenting our scientific visualization and analysis packages with modern machine learning features will help you understand environmental conditions — real or imagined! — more quickly and easily.

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Recommended Books for Machine Learning

Stack of machine learning books

The following are a few of Unidata AI/ML developer Thomas Martin's favorite books on machine learning. These books range from pure theory to hands-on practical Python programming help. They are arranged roughly in order if you are starting your journey into ML, but can also be read out of order.

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AMS 2023 Conference Highlights from the Unidata Staff

AMS 2023 Annual Meeting

This year's annual American Meteorological Society meeting was held 8-12 January 2023 in Denver, Colorado. In addition to the conference being a hybrid event with thousands physically in attendance (which felt a bit odd, after the last few years), the location being so close to the Unidata Program Center in Boulder meant more than the usual number of staff members were able to attend as presenters of talks and posters, conveners of sessions, and facilitators of workshops and short courses for students, educators, and researchers. Staff members also spent time meeting community members in the new exhibit hall booth bringing together a variety of UCAR and NCAR programs in one space. As always, we were also glad to meet so many prospective community members at the AMS Student Conference.

With so much going on at the conference, we can't cover everything here. Instead, we present some highlights from the week's events.

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News and information from the Unidata Program Center

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