The Unidata Users Committee is seeking nominations for a Graduate Student representative to join the group of university faculty members who serve on this committee. Nominees should be Graduate Students who use Unidata software, hold a strong interest in the Unidata program, and have an interest in learning how a community-based program like Unidata is governed. Nominations may be made by any community member, and self-nominations are acceptable. This position will be for a two-year term beginning with the fall 2023 Users Committee meeting.
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.
If you are running your own EDEX and have a shapefile that you use consistently, instead of having to manually import it in CAVE, we'll show you how to import it into the maps database and then add it to the Maps menu.
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,
AWIPS 20.3.2-0.2 is a beta release of CAVE. Great news, we've added installers for MacOS and Windows as well as made updates to the Linux and virtual machine option.
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.
