Continual Learning

Continual Learning, also known as lifelong learning, refers to the ability of a system, particularly in the context of artificial intelligence and machine learning, to learn from a continuous stream of data over time while retaining previously acquired knowledge. This process allows the system to adapt and improve its performance without forgetting past information, even as new information is introduced. Continual Learning contrasts with traditional machine learning approaches that typically involve training on a fixed dataset. It emphasizes the importance of not only acquiring new skills or knowledge incrementally but also maintaining coherence and stability in existing knowledge. This concept is essential for developing intelligent systems that can adapt to changing environments and tasks over prolonged periods, similar to how humans learn and evolve their understanding throughout life.