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Today at NeurIPS in Vancouver our Head of AI/ML Luis Oala together with industry colleagues are showcasing Croissant 🥐 - metadata format designed to make working with datasets in Machine Learning simpler, faster, and more responsible. By making datasets more discoverable, portable, and interoperable across tools and frameworks, Croissant eases the friction points in ML data management. Backed by popular dataset repositories and compatible with major ML frameworks, Croissant is ready to unlock the full potential of your data. Learn more: NeurIPS 🔗: https://lnkd.in/d6CdqFGA Github 🔗: https://lnkd.in/dK4zDZx2 Poster Session: Wednesday, December 12, 11 am. – 2 pm. PST The MLCommons Croissant working group, the team that 'baked' this new standard, brings together AI/ML experts from the following organisations: 🥐 Bayer 🥐 cTuning foundation (founding member of MLCommons) 🥐 DANS-Knaw 🥐 Dotphoton 🥐 Google 🥐 Harvard University 🥐 Hugging Face 🥐 Kaggle 🥐 King's College London 🥐 Luxembourg Institute of Science and Technology (LIST) 🥐 Meta 🥐 NASA - National Aeronautics and Space Administration 🥐 NASA IMPACT - UAH 🥐 Open Data Institute 🥐 Universitat Oberta de Catalunya 🥐 Eindhoven University of Technology Carole-Jean Wu, Costanza Conforti (Stanze), D. Sculley, Dan Brickley, Drew Duglan, Ph.D., Elena Simperl, Goeff Thomas, Grigori Fursin, Iksha Gurung, Joan Giner Miguelez, Joaquin Vanschoren, Jos van der Velde, Luis Oala, Manil Maskey, Meg Risdal, Michael Kuchnik, Mubashara Akhtar, Natasha Noy, Nitisha Jain, Omar Benjelloun, Peter Mattson, Philip Durbin, Pierre Marcenac, Pierre Ruyssen, Pieter Gijsbers, Quentin Lhoest, Rajat Shinde, Slava Tykhonov, Stefano Maria Iacus, Steffen Vogler, Sylvain Lesage, and Yuhan (Douglas) Rao #neurIPS #neurIPS2024 #croissant #metadataformat #ML