脑启发的人工智能研究进展与展望

Key Points

• The aim is to summarize progress in brain-inspired artificial intelligence and explore future directions.
• Systematic review of domestic and international research on brain-inspired AI.
• Analysis of multi-layer modeling methods from the perspective of brain structure.
• Exploration of algorithmic innovations for perception, cognition, learning, and decision-making.
• Summary of developments in novel brain-like computing systems with integrated architecture.
• Identifies significant deficiencies in existing deep learning methods in terms of resource consumption and adaptability.
• Highlights the advantages of brain structures in parallel processing and rapid generalization.
• Compares international and domestic advancements in theory, algorithms, and hardware.