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These machines used V-JEPA 2 to pick up unfamiliar objects, reach for targets, and place items in new locations. This marks a step forward in enabling robots to function in unpredictable environments.
V-JEPA 2 is an extension of the V-JEPA model that Meta released last year, which was trained on over 1 million hours of video. This training data is supposed to help robots or other AI agents ...
V-JEPA 2 doesn’t just identify objects — it can infer physical properties like gravity, anticipate how moving objects behave, avoid obstacles, and learn new tasks by analyzing what it sees.
Meta has now presented V-Jepa 2, a new world model that is intended to be the next step towards AMI and useful AI agents. V-Jepa stands for Video Joint Embedding Predictive Architecture. Anzeige ...
Ultimately, V-JEPA 2 became an AI model with 1.2 billion parameters. V-JEPA 2 took 1/30th the time it took NVIDIA Cosmos to create a single action plan, enabling overwhelmingly faster inference ...
V-JEPA 2 builds on Meta’s earlier version of the model released last year, called V-JEPA. This new version offers major improvements in helping machines predict how objects move, ...
Meta’s V-JEPA 2 and superintelligence lab signal bold AI ambitions, but commercial payoff remains speculative. Read why I recommend a Neutral/Hold on META stock.
According to Meta, V-JEPA 2 is 30x faster than Nvidia's Cosmos model, which also tries to enhance intelligence related to the physical world. However, Meta may be evaluating its own models ...
Meta on Wednesday unveiled its new V-JEPA 2 AI model, a "world model" that is designed to help AI agents understand the world around them. V-JEPA 2 is an extension of the V-JEPA model that Meta ...