CELEST integrates science and technology through development of neuromorphic learning algorithms.

Biological learning models inspire new algorithms for incremental real-time machine learning and database mining in response to huge amounts of data from rapidly changing environments.

These algorithms work on real-world data bases with probabilistic, inconsistent, or open-ended data streams.