Efficient Ghost

"Ghost" in AI research refers to techniques for efficiently generating or utilizing redundant information within neural networks or for creating AI agents that mimic deceased individuals. Current research focuses on improving the efficiency of "ghost" modules in convolutional neural networks (CNNs) through methods like re-parameterization, aiming for faster and more resource-light models for mobile and embedded devices. Additionally, research explores the ethical and practical implications of creating AI agents based on deceased individuals ("generative ghosts"), as well as the use of large language models to assist in academic research tasks. These advancements have implications for both improving the efficiency of AI systems and raising important considerations about the societal impact of increasingly sophisticated AI technologies.