EV-JEPA: Elastic V-JEPA for Any Device and Cross-Device Inference
Foundation models like V-JEPA are increasingly deployed across a heterogeneous edge-cloud continuum spanning smart glasses, phones, robots, and servers.
arXiv - cs.CV (CV)2 min read
JEPA
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H-JEPA teaches world models to plan at multiple levels of abstraction
Researchers at Yann LeCun’s Advanced Machine Intelligence (AMI) Labs and academic institutions have developed H-JEPA, a world-model architecture that learns to plan at different timescales using separate representations of the environment.Read more
VentureBeat AI5 min readSTOCK-JEPA: Prior-Anchored Latent Revision Representation Learning in Equity Markets
Learning effective representations helps characterize the structure and dynamics of equity markets from financial data with a low signal-to-noise ratio. Black-box deep models can capture complex patterns but may overfit sample noise and lack explicit economic structure.
arXiv cs.LG2 min read
Researchers stretch LeCun's JEPA AI into a universal world model that works from physics to biology
Researchers at PhAI Labs have expanded Yann LeCun's JEPA architecture to work across seven fields, from robotics to biomedicine. The effort also produced a liver cancer treatment candidate that showed promise in lab tests, though the study doesn't establish whether it could become an actual…
The Decoder4 min read
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