Bridging Neuroscience and Minds: Exploring Collective Intelligence through Brain Duplication using AI

The exciting concept of “brain duplication” has emerged from the intersection of artificial intelligence (AI) and neuroscience. This innovative endeavor aims to digitally recreate the intricate workings of the human brain using AI techniques, offering transformative potential in areas such as understanding brain function, advancing medical approaches, and connecting artificial systems with human intelligence. The paper explores various AI-driven methods for brain duplication, including neural network simulation and deep learning. It also delves into brain-inspired cognitive architectures like memory networks and neural turing machines. The research outlines the global landscape of brain science projects, emphasizing the shared goal of enhancing AI through insights from neuroscience. While ethical considerations, computational power limitations, and complexity pose challenges along this journey, pursuing brain duplication holds promise for groundbreaking advancements in healthcare education and human-computer interaction. Interdisciplinary collaboration and thoughtful ethical discussions are crucial to realizing these transformative possibilities.