brain-inspired architecture

Brain-inspired architecture refers to designing computer systems that mimic how the human brain processes information. It involves creating hardware and algorithms that replicate neural functions, such as learning, pattern recognition, and adaptability. These systems use interconnected units called artificial neurons, similar to biological neurons, allowing them to handle complex tasks efficiently. The goal is to develop more flexible, energy-efficient, and intelligent technologies by drawing insights from the brain’s structure and functioning. This approach is applied in areas like machine learning, robotics, and cognitive computing, aiming to improve how computers learn and solve problems.