Dendritic Computing

Dendritic computing is an approach inspired by the way neurons in the brain process information. It focuses on using artificial "dendrites"—branching structures that mimic biological neurons—to perform complex computations more efficiently. Each dendrite can filter and stimulate signals locally, allowing the system to handle multiple inputs simultaneously and make decisions efficiently. This approach enhances machine learning and signal processing by reducing energy use and increasing speed, much like how our brains process vast amounts of information quickly and with minimal power. Overall, dendritic computing aims to improve how computers learn, adapt, and solve problems.