Incremental Learning is an AI technique that allows models to continuously learn from new data without retraining from scratch. Instead of training the model on the entire dataset, Incremental Learning updates the model using newly available data. This approach is efficient for handling evolving data and adapting to changing environments.
Neuroevolution is a type of AI learning that combines neural networks and evolutionary algorithms. Neuroevolution algorithms evolve neural networks over generations, adapting them to…