The paper "Brain Intelligence: Go Beyond Artificial Intelligence" by Huimin Lu, Yujie Li, Min Chen, Hyoungseop Kim, and Seiichi Serikawa explores the limitations of current artificial intelligence (AI) and proposes a new concept called "Brain Intelligence (BI)" to address these issues. The authors highlight that while AI has made significant advancements in specific tasks such as image recognition and speech processing, it still lacks general intelligence and fails to perform functions like self-understanding, self-control, and self-motivation. They identify several limitations of current AI, including the frame problem, association function problem, symbol grounding problem, and mental/physical problem. To overcome these limitations, the paper introduces BI, which integrates artificial life (AL) and AI to create a more versatile and intelligent system. BI is designed to generate new ideas and concepts without prior experience, using a learning model that combines memory and idea functions. The authors also discuss various applications of AI, such as natural language generation, speech recognition, virtual reality, and deep learning platforms, and provide an overview of current research trends and challenges. The paper concludes by emphasizing the potential of BI to solve the limitations of current AI and enhance its capabilities.The paper "Brain Intelligence: Go Beyond Artificial Intelligence" by Huimin Lu, Yujie Li, Min Chen, Hyoungseop Kim, and Seiichi Serikawa explores the limitations of current artificial intelligence (AI) and proposes a new concept called "Brain Intelligence (BI)" to address these issues. The authors highlight that while AI has made significant advancements in specific tasks such as image recognition and speech processing, it still lacks general intelligence and fails to perform functions like self-understanding, self-control, and self-motivation. They identify several limitations of current AI, including the frame problem, association function problem, symbol grounding problem, and mental/physical problem. To overcome these limitations, the paper introduces BI, which integrates artificial life (AL) and AI to create a more versatile and intelligent system. BI is designed to generate new ideas and concepts without prior experience, using a learning model that combines memory and idea functions. The authors also discuss various applications of AI, such as natural language generation, speech recognition, virtual reality, and deep learning platforms, and provide an overview of current research trends and challenges. The paper concludes by emphasizing the potential of BI to solve the limitations of current AI and enhance its capabilities.