Program Summary
The Time-Aware Machine Intelligence (TAMI) program will develop new time-aware neural network architectures that introduce a meta-learning capability into machine learning.
This meta-learning will enable a neural network to capture the time-dependencies of its encoded knowledge. TAMI's vision is for an AI system to develop a detailed self-understanding of the time dimensions of its learned knowledge and eventually be able to "think in and about time" when exercising its learned task knowledge in task performance.
TAMI draws inspiration from ongoing research in time-processing mechanisms in human brains. A large number of computational models have been introduced in computational neuroscience to explain time perception mechanisms in the brain. TAMI will go a step further to develop and prototype concrete computational models. TAMI will leverage the latest research on meta-learning in neural networks.