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.

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
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!