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USA-GA-CINCINNATI Κατάλογοι Εταιρεία
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Εταιρικά Νέα :
- Meta launches AI world model to advance robotics, self-driving cars
Meta on Wednesday announced it's rolling out a new AI "world model" that can better understand the 3D environment and movements of physical objects
- GitHub - facebookresearch vjepa2: PyTorch code and models for VJEPA2 . . .
Official Pytorch codebase for V-JEPA 2 and V-JEPA 2-AC V-JEPA 2 is a self-supervised approach to training video encoders, using internet-scale video data, that attains state-of-the-art performance on motion understanding and human action anticpation tasks
- Meta’s V-JEPA 2 model teaches AI to understand its surroundings
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
- What is V-JEPA 2? Inside Meta’s AI Model That Thinks Before It Acts
Whether it's self-driving cars to household assistants it's clear the next hurdle AI must clear is interacting with the real, physical world Meta’s latest innovation, V-JEPA 2, takes us one step closer to a world enhanced by advanced machine intelligence We’ve got you covered with this comprehensive guide to V-JEPA 2, Meta's world model that thanks before it acts including how to use it
- Meta unveils V-JEPA 2: AI model predicts real-world movement without . . .
Meta has launched a new artificial intelligence system called V-JEPA 2, aimed at transforming how machines understand and navigate the physical world The open-source model, revealed on Wednesday
- V-JEPA 2 - Hugging Face
V-JEPA 2 is a self-supervised approach to training video encoders developed by FAIR, Meta Using internet-scale video data, V-JEPA 2 attains state-of-the-art performance on motion understanding and human action anticipation tasks
- Our New Model Helps AI Think Before it Acts - About Facebook
Today, we’re excited to share V-JEPA 2, our state-of-the-art world model, trained on video, that enables robots and other AI agents to understand the physical world and predict how it will respond to their actions These capabilities are essential to building AI agents that can think before they act, and V-JEPA 2 represents meaningful progress toward our ultimate goal of developing advanced
- Introducing V-JEPA 2
Video Joint Embedding Predictive Architecture 2 (V-JEPA 2) is the first world model trained on video that achieves state-of-the-art visual understanding and prediction, enabling zero-shot robot control in new environments
- Introducing the V-JEPA 2 world model and new benchmarks for physical . . .
Today, we’re excited to share V-JEPA 2, the first world model trained on video that enables state-of-the-art understanding and prediction, as well as zero-shot planning and robot control in new environments As we work toward our goal of achieving advanced machine intelligence (AMI), it will be important that we have AI systems that can learn about the world as humans do, plan how to execute
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