"physical AI"

Progress in physical AI, AoT®, sensors, drones, and robotics is being leveraged to monitor the vast, multi-trillion dollar global oil and ga...

Physical AI raised $10B+ in 2025, but robots still train on under 5,000 hours of real-world data. Who's funding the race to fix it.

The AI economy is no longer being built only with software. It is increasingly being built with physical capacity.

Generative AI had the web to train on. Physical AI has to earn its data in the real world, one grasp, slip, and failure at a time.

Leading silicon and software vendors are converging on a few practical edge platforms that manage and govern agentic AI operating in the phy...

That difference—not model size or novelty—is what makes embodied AI harder to deploy and more consequential when it fails.

Autonomy of Things (AoT®) has made significant inroads in outdoor agriculture. Controlled environment, indoor agriculture is now embracing t...

Viswanathan goes into the theory of AI in a different way.

Edge intelligence can power physical AI systems, enabling real-time perception and action in the physical world. ​