SEMRON hat dies direkt geteilt
New paths to decentralised, heterogenous, and federated AI Training: the SPRIND Composite Learning Challenge enters Stage 2! Training large AI models remains expensive and centralized, accessible only to a few dominant players outside of Europe. To change this, SPRIND supports groundbreaking ideas for decentralized and privacy-preserving AI model development on heterogenous hardware. Out of the seven teams which entered Stage 1, the expert jury has selected five tems to advance to Stage 2. SPRIND provides up to € 530,000 in funding over the next 12 months for each team, along with mentorship and many opportunities for the teams to leverage their collective strengths. 🚀 CONGRATULATIONS to all successful teams: 👉 exalsius (Alexander Acker, Soeren Becker) 👉 SymphonyLearn (PanocularAI, Arya Mazaheri) 👉 AETHER (Tilmann Bartsch, SEMRON) 👉 CambridgeFlower (Nicholas Lane, Daniel J. Beutel, University of Cambridge, Flower Labs) 👉 Planetary Compute Platform (Phil Rohr, DeltaWave) For more information on this SPRIND Challenge, please visit our website, which is linked in the comments 👇 And a huge thank you to our wonderful jury - Johannes Otterbach, Katharine Jarmul, Wolfgang Stille, Hans Ramsl, Gerhard Wunder and Andreas Unseld and Tian Li - for their valuable expertise. Leonard Schenk Jano Costard Marcia Holst Sebastian Berns