All Things AI: May 2025

Posted on By Daphne McCanse
  1. May 13-14 HPC Monthly Workshop: Machine Learning and BIG DATA Pittsburgh Supercomputing Center workshop focusing on topics including big data analytics and machine learning with Spark, and deep learning using Tensorflow. This will be an in person event hosted by various satellite sites.
  2. May 13 Webinar from SDSC: Cheap and FAIR Data Practices. Covering practices that projects at all scales can adopt to promote using the FAIR data principles in their work.
  3. May 15 Training from SDSC: COMPLECS: Data Storage and File Systems Will introduce more common data storage and file systems, the basic hardware and software architecture of these filesystems, their capabilities, and the typical use case(s) in HPC. Will also provide an overview of relevant Linux command-line tools that will enable you to gather information about these filesystems.
  4. May 29 Training from SDSC: COMPLECS: Using Regular Expressions with Linux Tools Regular expressions (regexes) provide a way to identify strings that match a specified pattern. They are extremely useful for preprocessing text and extracting results from high-performance computing and data science workloads. Primarily in the context of the Linux grep utility, we incrementally introduce the main features of regexes.
  5. Video: Requesting Resources Via the NAIRR Pilot An overview of the process for requesting no-charge access to technology resources via the NAIRR Pilot program.
  6. NAIRR Pilot Inaugural Annual Meeting Report and Materials The by-invitation NAIRR Pilot Inaugural Annual Meeting took place from February 19-21, 2025, in Washington, DC, bringing together 378 attendees from 47 states representing diverse stakeholders including researchers, educators, resource providers, and federal agencies. View the Meeting Final Report, presentation materials, and recorded presentations.

For a complete list of NAIRR Pilot Events and Training opportunities visit: https://nairrpilot.org/pilotevents.

This work was supported by the National Science Foundation through  Early-concept Grants for Exploratory Research (EAGER) NSF award #2436057. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.