Projects

Analysis of Bayesian Intelligent Autonomous Systems focuses on the information-theoretic basis of Active Inference. What are the best data points for an agents? How optimal is data collection based on minimizing expected free energy?

Design of an intelligent autonomous system for quadrupedal robot locomotion using Active Inference (AIF). AIF is a neuroscience-based framework of perception and action, and could bring us closer to how animals learn to walk.

Computation in biological brain tissue consumes several orders of magnitude less power than silicon-based systems. Motivated by this fact, this project aims to develop the world’s first hybrid neuro-in-silico Artificial Intelligence (AI) computer.

Sequential Domain Adaptive Intelligent Systems focuses on ordered domain-adaptative classification over a sequence of biased samples from an underlying population.