"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.

How Corvus's synthetic data generation platform addresses the critical challenge of matching model capabilities with data requirements...

Key Takeaways Synthetic data generation has evolved from a niche research topic to an essential technology for AI development. The...

How CorePal uses GenAI to potentially recycle 98% of the valuable parts from junkyards to foster a circular economy With today's...