We present a general class of machine learning algorithms called parametric matrix models. In contrast with most existing machine learning models that imitate the biology of neurons, parametric matrix ...

Wave propagation in complex media undergoes multiple scattering 1. Multiple-scattering waves possess rich degrees of freedom that can be harnessed for diverse functionalities 2,3,4,5. Notable examples ...

Proteoglycans are ubiquitous molecules that function as critical components of the extracellular matrix. These proteins are composed of glycosaminoglycan chains that are covalently attached to a ...

The most flexible way to connect signals and instruments is to use a switching matrix. In a test application, there often are many more signals than measuring instruments, necessitating signal ...