In this work, we combine nonlinear system control techniques with
next-g...
Reservoir computing is a machine learning approach that can generate a
s...
We introduce a mathematical framework for simulating Hybrid Boolean Netw...
Forecasting the behavior of high-dimensional dynamical systems using mac...
Chaotic logic gates or `chaogates' are a promising mixed-signal approach...
We introduce the waveform capture device (WCD), a flexible measurement s...
Reservoir computers are powerful tools for chaotic time series predictio...
Reservoir computing is a best-in-class machine learning algorithm for
pr...
The rapidity and low power consumption of superconducting electronics ma...
We demonstrate that matching the symmetry properties of a reservoir comp...
We propose and demonstrate a nonlinear control method that can be applie...
We explore the hyperparameter space of reservoir computers used for
fore...
Physical unclonable functions are devices that exploit small, random
var...