Graph RAG represents a shift from text-centric retrieval to structure-aware understanding to enable: 1. More consistent answers 2. Better global context 3. Reduced hallucination 4. Stronger reasoning over relationships Rather than asking LLMs to guess structure from text at generation time, Graph RAG makes structure explicit upfront.

"Machine-learning Method on Vectorized Three-Dimensional Model and Learning System Thereof" describes a novel method for utilizing vectorized 3D models to generate synthetic data of real-world objects for AI training. It can be applied for various applications, including object identification and anomaly detection, where training data are difficult or economically infeasible to acquire, and the robotic agents need these capabilities to function and swiftly interact with the p

The future of Physical AI isn't just about better technology—it's about smarter SDG implementation. Organizations that understand how to match SDG strategies with their specific Physical AI needs will gain significant competitive advantages.

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We are thrilled to announce that Vizuro has joined NVIDIA Inception , a program that nurtures startups revolutionizing industries with...