Beyond Domain-Specific World Models: JEPA-Anything Uses 1 Recipe for 7 Fields

Researchers from PhAI Labs, CUHK, Fudan, Stanford, Oxford and Princeton have released JEPA-Anything, a domain-agnostic framework for building world models. Instead of designing a new predictive model for each field, it applies one shared learning recipe to very different systems. It extends joint-embedding predictive architectures (JEPAs) with a... Weiterlesen: Beyond Domain-Specific World Models: JEPA-Anything Uses 1 Recipe for …