Continual learning in neural networks addresses the challenge of adapting to new information accumulated over time while retaining previously acquired knowledge. A central obstacle to this process is ...

Broad Learning Systems (BLS) have emerged as a promising alternative to conventional deep learning architectures by utilising random feature mapping and incremental learning paradigms that expand ...

The simplified approach makes it easier to see how neural networks produce the outputs they do. A tweak to the way artificial neurons work in neural networks could make AIs easier to decipher.