Reservoir computing

Reservoir computing is a type of brain-inspired computing that imitates how the brain works. It uses an artificial "reservoir", or a network of interconnected nodes, to process information. Inside the reservoir, information is processed by taking input from the outside, like from sensors, and allowing the nodes to interact with each other. Eventually, the information is sent back out of the reservoir and can be used, for example, to control a robot or make decisions. To use reservoir computing, you don't need to program the nodes specifically; instead, you can just let them "learn" by interacting with each other.