Few-shot Learning For Knowledge Engineering And Intellectual System

This article discusses the emerging field of few-shot learning, which addresses the challenge of limited labeled data in machine learning. It explores the potential of this approach to bridge the gap between machines and the human brain and promote the intelligent development of machines. The article also highlights the need for further research in this area and its potential applications in various fields.