Independent research · Coua Labs
On the origins
of thought.
We explore how intelligent systems learn, reason, and adapt.
Fundamental questions, studied through computational experiments and the tools we build.
Explore our workA wider field of inquiry
The questions
are wide open.
A few of the questions we want our work to help answer.
Inside the labLearning
How much can a system learn from a little?
What helps a system turn limited experience into useful knowledge? We are interested in the roles of data, feedback, memory, and prior structure.
Reasoning
How does knowledge become a new idea?
Reasoning involves using what is already known to draw an inference, solve an unfamiliar problem, or plan a course of action. What makes those processes reliable?
Adaptation
What allows intelligence to keep changing?
We ask how systems can remain capable as tasks and conditions change, incorporating new experience while retaining what they have learned.
Our first project
In preparationConnectome Learning Priors
A first investigation into biological network structure and its potential as a learning prior.
View the project