Platforms

A great deal of enthusiasm, in both AI and in brain and cognitive sciences, is focused on building large neural network models. This team is pursuing an alternate scaling route for AI systems and for NI models, based on inference in probabilistic programs. Their AI-facing goal is to show that end-to-end explainable AI systems built using probabilistic programming can match and exceed the speed, robustness, and flexibility of human intelligence, using 100x-1,000x less computation than deep learning. Their NI-facing goal is to leverage new techniques for neural mapping of probabilistic programs to build and test these AI systems as computational models of perception and cognition.

The Brain-Score platform aims to yield accurate, machine-executable computational models of how the brain gives rise to the mind. Its benchmarking system enables researchers to sense the alignment of their model(s) to currently dozens of neural and behavioral measurements, and it provides these models to experimentalists to prototype new experiments and make sense of biological data.

The Intelligence Observatory works with researchers in the Missions using the Quest VR lab and other tools to capture data.