Machine Learning5 min reading time
Beyond Domain-Specific World Models: JEPA-Anything Uses 1 Recipe for 7 Fields
MarkTechPost
Read the full articleResearchers from PhAI Labs, CUHK, Fudan, Stanford, Oxford, and Princeton introduced JEPA-Anything, a unified framework using Orthogonal Predictive Factorization to build domain-agnostic world models across seven diverse fields, improving predictive performance and stability.




