A new technical paper titled “Massively parallel and universal approximation of nonlinear functions using diffractive ...

Nonlinear mixed effects models (NLMMs) and self-modeling nonlinear regression (SEMOR) models are often used to fit repeated measures data. They use a common function shared by all subjects to model ...

Researchers developed a nonlinear viscoelastic-plastic model to accurately forecast mining-induced subsidence, ensuring safer ...

A standard digital camera used in a car for stuff like emergency braking has a perceptual latency of a hair above 20 milliseconds. That’s just the time needed for a camera to transform the photons ...

Materials scientists can learn a lot about a sample material by shooting lasers at it. With nonlinear optical microscopy—a specialized imaging technique that looks for a change in the color of intense ...

Author Dr. R. Russell Rhinehart discusses his new book, Nonlinear Model-Based Control: Using First-Principles Models in Process Control, and explains why nonlinear first-principles models should be ...

Given appropriate models for vacuum tubes, circuit simulators such as SPICE make analysis based on such nonlinear models a tractable effort. The Langmuir, Leach, and Koren models are discussed for the ...

New paper published in Nature details NTT Research’s development of the world’s first programmable nonlinear photonic waveguide in collaboration with Cornell University and Stanford University. A ...

We introduce continuously additive models, which can be viewed as extensions of additive regression models with vector predictors to the case of infinite-dimensional predictors. This approach produces ...

UCLA researchers demonstrate diffractive optical processors as universal nonlinear function approximators using linear ...