XMPro, a pioneer in industrial AI, has revealed that its Multi-Agent Generative Systems (MAGS) closely align with the architectural principles outlined in a landmark 264-page research paper co-authored by scientists from Stanford, Yale, Microsoft Research, Google DeepMind, CIFAR, and others. The study, “Advances and Challenges in Foundation Agents,” highlights foundational components for building truly intelligent AI agents—components that XMPro has independently adopted in its MAGS approach for industrial decision-making. Read More









