Driven by key insights from statistical physics and cognitive science, in particular by Karl Friston’s active inference framework, the approach pioneered at Noumenal Labs unlocks the capability of machines to represent the physical world in the same way we do, enabling them to act safely and in alignment with human values — and thereby, to deliver on the promise of Physical AI.

Inspired by neural reuse and reassembly, we consider key design features that unlock the ability for AI to reason by analogy and by metaphor

We discuss approaches to AI alignment, and in particular, the crucial role of theory of mind, the ability to take the perspective of another

Here we discuss key gaps in SOTA applications of active inference in AI - and how Noumenal Labs is working to fill them.

In this blog post, we describe the new approach to macroscopic physics discovery that we are developing at Noumenal Labs.

The AI systems that we are developing reason about the world like a scientist does.

The two main competitive advantages of the big players in AI no longer ensure market superiority.