First spam-detecting AI trained in simulation deployed on a physical robot

AI Impact Summary

This release adds a new capability: a spam-detecting AI trained entirely in simulation and deployed on a physical robot. The sim-to-real approach can accelerate development and reduce data-collection costs, enabling real-time spam filtering in physical interactions. Expect potential gaps from sensor noise, lighting, and adversarial scenarios; plan for on-device calibration and continuous monitoring to maintain accuracy in production.