Continual Learning: Preventing Catastrophic Forgetting in Neural Networks
In the rapidly evolving landscape of artificial intelligence, one of the most pressing challenges facing neural networks is their tendency to “forget” previously learned information when acquiring new knowledge. This phenomenon, known as catastrophic forgetting, represents a fundamental limitation that prevents AI systems from learning continuously like humans do. Understanding and addressing this challenge through … Read more