Learning Process

Learning process research investigates how machines acquire and retain knowledge, aiming to improve efficiency, accuracy, and interpretability of artificial intelligence. Current efforts focus on mimicking human learning strategies, such as hierarchical knowledge organization, curriculum learning (progressing from easy to hard tasks), and attention-based mechanisms to understand model development. This research is significant for advancing AI capabilities across diverse fields, including education, healthcare, and robotics, by creating more robust, efficient, and explainable learning systems.