Prof. Ing. Jan Platoš, Ph.D.
Lab Leader
Online learning algorithms, concept-drift detectors, and memory architectures that prevent catastrophic forgetting in non-stationary data streams.
Timeline
2021 - 2023
Status
Completed
Project code
GF21-33574K
Funding provider
Czech Science Foundation (GA ČR) & National Science Centre (NCN Poland)
Funding program
CEUS Lead Agency Programme
Budget
~6 200 000 CZK (~250 000 EUR)
An international foundational and applied science endeavor (jointly with Polish research partners) addressing one of the most critical challenges in modern AI: continual learning in non-stationary environments. The project designed novel online learning algorithms, concept drift detectors, and memory architectures that prevent catastrophic forgetting and allow AI models to continuously adapt to evolving, high-velocity data streams in real time.
Lab Leader