Continual Learning

The ability of a model to learn new tasks or incorporate new information over time without forgetting what it has already learned. Continual learning is challenging because neural networks tend to suffer from catastrophic forgetting, and solving this is an active area of research with important implications for long-lived AI systems.
See also: catastrophic forgetting, transfer learning, online learning.