FARR: FAIR in ML, AI Readiness, & Reproducibility Network Postcard. In San Diego Supercomputer Center (SDSC) Research Data Services Materials Collection

FARR: FAIR in ML, AI Readiness, & Reproducibility Network Postcard. In San Diego Supercomputer Center (SDSC) Research Data Services Materials Collection

This postcard was distributed at conferences to disseminate project objectives and to promote awareness of AI reproducibility and ways to document implementation factors of AI-based research.

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Bibliographische Detailangaben
Hauptverfasser: Kirkpatrick, Christine R., Coakley, Kevin, Schreiber, Lynne, Christopher, Julie, Katz, Daniel, Stocks, Karen, Rao, Yuhan Douglas
Format: Dataset
Sprache:eng
Schlagworte:
Artificial intelligence (AI) readiness
FAIR in ML, AI Readiness, & Reproducibility Research Coordination Network (FARR)
FAIR Principles
Machine learning
Research reproducibility
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Beschreibung
Zusammenfassung:This postcard was distributed at conferences to disseminate project objectives and to promote awareness of AI reproducibility and ways to document implementation factors of AI-based research.
DOI:10.6075/j0x92bg3