Lifelong Machine Learning from Data Streams (CEUS Lead Agency)

Artificial Intelligence

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.

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