Lifelong deep learning is a research paradigm within machine learning that investigates methods enabling models to learn a sequence of tasks or data streams continuously over time. It focuses on the ability to acquire and integrate new knowledge without significantly degrading performance on previously learned tasks, addressing the critical challenge of catastrophic forgetting for building adaptable and persistent AI systems.