Catastrophic forgetting is a phenomenon in which a neural network, upon learning a new
task, struggles to maintain its performance on previously learned tasks. It is a common …

Artificial intelligence and neuroscience have a long and intertwined history. Advancements
in neuroscience research have significantly influenced the development of artificial …

This book chapter delves into the dynamics of continual learning, which is the process of
incrementally learning from a non-stationary stream of data. Although continual learning is a …

Continual learning (CL) is a paradigm which addresses the issue of how to learn from
sequentially arriving tasks. The goal of this paper is to introduce a CL framework which can …

Today, both science and industry rely heavily on machine learning models, predominantly
artificial neural networks, that become increasingly complex and demand more computing …

Continual Learning (CL) is crucial in artificial intelligence for systems to maintain relevance
and effectiveness by adapting to new data while retaining previously acquired knowledge …