NVIDIA introduced the T3000 and T2000 Jetson modules based on the Thor architecture, advancing mainstream robotics and edge AI applications. These compact, power-efficient AI supercomputers enable mass-market deployment of general-purpose robots and autonomous machines. The new modules deliver high AI compute performance, integrated functional safety, and seamless running of the NVIDIA Halos for Robotics full-stack safety system.

Google introduces Neuro-Agentic Control, a novel AI framework that combines LLM-based planning with a Time-Series Foundation Model (TimesFM) to achieve physics-grounded autonomous defense for industrial IoT. This architecture, featuring a "Counterfactual Physics Injection" mechanism, effectively prevents LLM hallucinations, ensuring safe and reliable control over critical security systems in operational technology environments.