Research and development of next-generation brain-type artificial general intelligence (AGI) that mimics the basic circuits common to biological brains

Abstract

Current AI is mainly artificial intelligence (NAI) in the narrow sense, and is far from achieving artificial general intelligence (AGI). AGI has characteristics similar to human diversity, and great progress is expected. Recent advances in AI require vast amounts of data and resources, and are limited in scope. This research focuses on brain-inspired AI and complex system models using ultra-low power computation. The goal is to establish innovative digital twin computing technology that unifies social information from various physical spaces in cyberspace and solves cross-disciplinary problems. Researchers have found similarities in the brain architecture of humans and C. elegans, suggesting that they may share basic circuitry in the L4t4 model. This suggests the potential for artificial general intelligence that can learn with minimal data and power.