Adaptive Processing

Adaptive processing refers to systems that can adjust their behavior based on changing conditions or new information. Instead of following a fixed set of rules, these systems analyze incoming data and modify their responses to optimize performance or outcomes. For example, a smart thermostat learns your heating and cooling preferences over time and adjusts accordingly, improving comfort and energy efficiency. This approach is common in technologies like machine learning, signal processing, and robotics, enabling devices to operate more effectively in dynamic environments by continuously learning and adapting to new data.