The NAIRR Pilot Portal serves as the primary entry point to the NAIRR Pilot, providing researchers, educators, and students with a unified environment to discover AI research resources, explore opportunities, and connect to the broader NAIRR ecosystem. SGX3, The NSF Center of Excellence for Science Gateways, provides the portal, which features a growing set of interactive sandboxes that demonstrate how researchers, educators, and students can explore advanced AI-ready infrastructure and data through hands-on environments.

The presentation will go into detail for three sandboxes. Two sandboxes leverage Jetstream2. The first highlights Numerical Image Recognition using Jetstream2 based on a NAIRR classroom project. It illustrates how scalable cyberinfrastructure can support teaching, learning, and applied AI experimentation. The second Jetstream2 sandbox, Making Biomedical Data FAIR on the NAIRR (EAGER), focuses on practical approaches to FAIR data management within the NAIRR ecosystem. A third sandbox showcases capabilities enabled by the National Data Platform (NDP). This sandbox presents the NDP dataset catalog and NAIRR workspaces, including projects such as HydroGen and OpenTopography.

Presenter: Sandra Gesing, SGX3 – The NSF Center of Excellence for Science Gateways

Please note: NAIRR Pilot Portal Sandboxes are available only to U.S.-based researchers, educators, and students.
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This free workshop is hosted by the Pittsburgh Supercomputing Center, and will focus on topics including big data analytics and machine learning with Spark, as well as deep learning. Users must have an ACCESS account to register; directions for this process can be found at the workshop registration link. Transportation to and from the Digital Futures building is provided by the Innovation District shuttle (pickup and drop-off at Campus Green) for users who don't wish to park in the Digital Futures lot for an hourly fee.

This free workshop is hosted by the Pittsburgh Supercomputing Center, and will focus on topics including big data analytics and machine learning with Spark, as well as deep learning. Users must have an ACCESS account to register; directions for this process can be found at the workshop registration link. Transportation to and from the Digital Futures building is provided by the Innovation District shuttle (pickup and drop-off at Campus Green) for users who don't wish to park in the Digital Futures lot for an hourly fee.