Physical AI combines software, sensors, and machines to perceive conditions, plan actions, and operate in the physical world. People remain accountable for decisions and outcomes.
I wrote about that in The Physical AI Era Has Arrived and The biggest question about AI is what humans will do next.
Talk with Monty about assessing a physical-AI use case in operations or agriculture.
Collaborators
Monty leads engagements and approves decisions. USM Systems, AI Overlords, and TenisiTech provide delivery capability.
- USM Systems — AI, IoT, and workforce delivery.
- AI Overlords — AI agents and custom software.
- TenisiTech — managed IT and CIO advisory.
References only
Public resources. Not affiliations or endorsements.
By industry
Agriculture
AgIR — USDA / NC State photos repo.
- DASH
- NC State writeup
- SCINet signup
Start here
NVIDIA Cosmos 3 — world models for Physical AI. Docs, GitHub, and Hugging Face.
Cosmos NIM — packaged inference; requires an NGC API key.
Metropolis VSS — video search and summarization. Docs, GitHub, and Brev.
Isaac Sim — robot simulation and synthetic data.
Google AI Edge Gallery — on-device models.
ROS — Open Robotics Community News and weekly update.
NVIDIA Inception — startup program.