Framework improves ‘continual learning’ for artificial intelligence

Researchers have developed a new framework for deep neural networks that allows artificial intelligence (AI) systems to better learn new tasks while ‘forgetting’ less of what it has learned regarding previous tasks. The researchers have also demonstrated that using the framework to learn a new task can make the AI better at performing previous tasks, a phenomenon called backward transfer.