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FARR RCN hosts the FAIR in ML, AI Readiness, & Reproducibility (FARR) Workshop
April 28, 2026 Written by Lynne Schreiber and Julie Christopher To share advances, best practices, and lessons learned across the FAIR in Machine Learning, AI Readiness, and Reproducibility Research Coordination Network (FARR RCN), researchers from the San Diego Supercomputer Center (SDSC), Scripps Institution of Oceanography (SIO), North Carolina State University (NCSU), and National Center for Supercomputing Applications (NCSA) hosted the FARR Workshop on April 8–9, 2026,
Apr 29


FARR Mini-Research Project Trains AI Model to Read Geological Maps
Written by Jack Imel, University of Alaska Southeast Intern at SDSC University of Idaho researchers fine-tune EfficientNetB0 for...
Sep 26, 2025


FARR Mini-Research Project Promotes Ethical Use of AI Tools Among Engineering Students
Written by Jack Imel, University of Alaska Southeast Intern at SDSC Workshop at Howard University helps students understand and...
Jul 11, 2025


2024 FARR Workshop Brings Together Experts for Innovation at Intersection of AI and Data
Written by Kimberly Mann Bruch, SDSC Communications Funded by the U.S. National Science Foundation, the FARR Research Coordination...
Oct 23, 2024


AI-Ready Data: Navigating the Dynamic Frontier of Metadata and Ontologies - A Workshop Summary
Written by Jane Greenberg, Drexel University AI-ready data, which refers to high-quality and well-prepared data that is optimized for use...
Jul 10, 2024
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