EurekAlert!

Massively parallel implementation of nonlinear functions using an optical processor

Researchers at the University of California, Los Angeles (UCLA) have developed an optical computing framework that performs large-scale nonlinear computations using linear materials. Reported in ...
Electronic Design

Modeling on Mondays: Nonlinear SPICE Models of Vacuum-Tube Triodes (Part 3)

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 ...
Ars Technica

Getting an all-optical AI to handle non-linear math

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 ...
San Francisco Fed

Estimating Nonlinear Heterogeneous Agent Models with Neural Networks

We leverage recent advancements in machine learning to develop an integrated method to solve globally and estimate models featuring agent heterogeneity, nonlinear constraints, and aggregate ...
Morningstar

NTT Research Collaboration Breaks the “One Device, One Function” Paradigm with World’s First Programmable Nonlinear Photonics Chip

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 ...
JSTOR Daily

Probability Distribution of Nonlinear Wave Surface Slope Based on Copula Function

Journal of Coastal Research, SPECIAL ISSUE NO. 103. Global Topics and New Trends in Coastal Research: Port, Coastal and Ocean Engineering (SUMMER 2020), pp. 839-842 (4 pages) In order to improve the ...