LLMs11 min read
Open Library of 2,000 Simulation-Ready 3D Assets for Robotics
Hugging Face launched SimReady Central with over 2,000 pre-configured 3D assets for robotics and AI factory simulations.
From Hugging Face blog
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LLMs11 min read
Hugging Face launched SimReady Central with over 2,000 pre-configured 3D assets for robotics and AI factory simulations.
From Hugging Face blog
LLMs1 min read
Agentic AI workflows can be used to prepare and validate digital twins for physical AI systems. Agents can inspect 3D scenes, author simulation-relevant data in...
From NVIDIA technical blog
Photo: Yan Krukau
Research identified seven distinct sources contributing to Physical AI capabilities: Recorded-Experience, Predictive-Modeling, Evaluative-Interaction, Surrogate-Environment, Mechanism-Grounded, Embodied-Coupling, and Evolution-Driven. This framework allows analysis of how capabilities are formed, supporting applications like explanation and transfer.
From arXiv cs.AI
Research1 min read
This paper introduces a four-layer architecture for Cognitive Digital Twins (CDTs) – physical, digital-twin, cognitive, and task – enabling self-evolving closed operational loops. The framework facilitates task-oriented operation through synchronized states, cognitive model construction, and practical constraint-based decision generation.
From arXiv cs.AI
Research1 min read
The Corporate Language Model (CLM) transforms enterprise knowledge into an ontologically grounded foundation, enabling reasoning and executable actions within organizational contexts.
From arXiv cs.AI
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