Semiconductor Engineering

Parallel Implementation Of Nonlinear Functions Using An Optical Processor (UCLA)

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

Example 8.2: Newton's Method for Solving Nonlinear Systems of Equations

This example solves a nonlinear system of equations by Newton's method. Let the nonlinear system be represented by ...
Investopedia

What Is Nonlinear Regression? Comparison to Linear Regression

Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...
Embedded

Using nonlinear Kalman filtering to estimate signals

It appears that no particular approximate [nonlinear] filter is consistently better than any other, though . . . any nonlinear filter is better than a strictly linear one. 1 The Kalman filter is a ...
Semiconductor Engineering

Implementing AI Activation Functions

Activation functions play a critical role in AI inference, helping to ferret out nonlinear behaviors in AI models. This makes them an integral part of any neural network, but nonlinear functions can ...
Hosted on MSN

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

NTT Research, Inc., a division of NTT, announced that its Physics and Informatics (PHI) Lab, working with Cornell University and Stanford University, has developed the world's first programmable ...