Reservoir computing is a computational approach well suited to time‑dependent tasks such as speech recognition, because it relies on internal dynamics, nonlinear responses, and short‑term memory of recent inputs. However, most hardware implementations consume too much power and lack the rich dynamics needed for complex problems. In this study, the researchers introduce a new reservoir‑computing device made by connecting a ferroelectric capacitor (FC) in series with a linear capacitor (LC). This FC-LC device naturally provides the two essential ingredients of a reservoir: nonlinearity, through polarization switching and back‑switching in the ferroelectric layer, and fading memory, through slow charge accumulation and relaxation. The device offers several advantages over existing reservoir hardware. It operates at extremely low power, produces a direct voltage output without extra circuitry, and has widely tuneable time constants, allowing it to respond quickly or slowly depending on the task.…