NCAI intends to build a clearinghouse of resources for NOAA that leverages standard development environments including Google Colab offsite link, Binder offsite link, and GitHub offsite link. Our goal is to provide a library to search, discover, and tailor accessible knowledge. From tutorials to best practices, we aspire to offer materials, training, and ideas.
Resource Gap Assessment
As part of the NOAA Artificial Intelligence strategy, NCAI conducted a pilot training resource gap assessment in 2021 to gather training deficiencies, needs, and priorities across NOAA.
Survey respondents agreed that NOAA lacks training to incorporate artificial intelligence (AI) to the overall NOAA mission, which prohibits the workforce to become AI literate and proficient. At all levels of NOAA and with different roles in the AI development cycle (i.e., practitioner, user, manager), respondents requested NOAA-specific training using NOAA data and computing resources to remove common barriers to the “Research to Operations, Applications, and Services” pipeline.
National Institute of Standards and Technology (NIST) contributes to the research, standards, and data required to realize the promise of AI as an enabler of American innovation across private and public sectors.
European Centre for Medium-Range Weather Forecasts (ECMWF) is making a significant effort to support applications of artificial intelligence and machine learning and to identify how such applications may improve numerical weather prediction at the Centre.
The AI4ESS Summer School interactive course by the National Center for Atmospheric Research (NCAR UCAR) covers essential and cutting edge topics in artificial intelligence, machine learning, and deep learning relevant for Earth system science.
In August 2020, NSF established the National Artificial Intelligence Research Institutes, five U.S. AI hubs. The goals: accelerate research in AI, expand America's workforce, and transform society. Areas of focus extend from extreme-weather readiness to science, technology, engineering and mathematics (STEM).