Artificial Brain

The field of "artificial brain" research aims to create artificial systems that mimic the brain's computational capabilities, focusing on achieving human-like intelligence and energy efficiency. Current research emphasizes developing neuromorphic computing architectures using diverse materials (e.g., photonic, electronic, ionic) and incorporating biologically-inspired learning algorithms, including deep learning models and Bayesian approaches, to improve performance and explainability. This research is significant for advancing AI capabilities, potentially leading to breakthroughs in robotics, healthcare (e.g., brain age prediction), and security, while also providing insights into the fundamental workings of the human brain.