Energy-Aware Intelligence for the Physical World

AI is moving from screens into the physical world - into robots, wearables, cameras, sensors, drones, and machines. But most of today’s AI compute was never built for that world. It is too power-hungry, too expensive, and too dependent on moving data back and forth.

At Ambient Scientific, we’re rethinking AI compute from the ground up. Our architecture brings memory and intelligence much closer together, so AI can run directly inside tiny, power-constrained devices instead of depending on the cloud. In this session, we’ll show how this shift can unlock faster, cheaper, and dramatically more energy-efficient AI - enabling a new generation of physical AI systems that can sense, understand, and act in real time.