SOURCE-LINKED INTELLIGENCE

Brain-Inspired Hierarchical Modularity for General Continual Learning

arXiv · AI, language, vision and robotics · article · Sep 21, 2026 · UTC

Continual learning, the ability to learn from sequential experience while retaining and adapting prior knowledge, is central to intelligent systems operating in changing environments. However, conventional continual learning is typically studied with offline task-wise training and clear task boundaries, leaving a substantial gap from general continual learning under online, uncertain, and evolving data streams. In this regime, intelligent systems must separate conflicting experience to reduce interference while integrating compatible experience to promote generalization. Inspired by the organi

Read original source ↗ Open in workspace

recordType

paper

region

Global