AIMdyn Inc. has begun work on the DARPA EC project in collaboration with BAE Systems:
U-PrECISE – Uncertainty Propagation via (dynamical) Evolution of Information from Complex Signals/Sensors and Environments
With the growing ubiquity of using machine learning systems for critical tasks, it is imperative that the level of confidence for ML-based decisions is properly quantified. This project uses Koopman operator theory, along with statistical methods, to generate confidence intervals for the outputs of machine learning systems. These context-sensitive Koopman models allow for contextual adaptation and quantitative analyses of the underlying dynamics of ML systems – two important steps towards the third wave of artificial intelligence.
AIMdyn PI: Dean Huang, AIMdyn PM: Dr. Maria Fonoberova