Continual Learning

Continual learning refers to the ability of artificial intelligence and machine learning models to learn and adapt continuously from new data, experiences, and environments, enabling them to improve their performance and stay relevant over time. As AI is increasingly applied in dynamic real-world settings, continual learning is crucial for developing models that can evolve and adapt to changing conditions, making it a key area of research in the tech community.