Seeing the whole from a part: Revealing hidden turbulent structures from limited observations and equations

The irregular, swirling motion of fluids we call turbulence can be found everywhere, from stirring in a teacup to currents in the planetary atmosphere. This phenomenon is governed by the Navier-Stokes ...
Visual Studio Magazine

Linear Regression with Pseudo-Inverse Training Using JavaScript

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...
Interesting Engineering on MSN

MIT’s new heat-powered silicon chips achieve 99% accuracy in math calculations

Scientists in the US have created a tiny silicon chip that can perform mathematical ...
Tech Xplore

Tiny silicon structures compute with heat, achieving 99% accurate matrix multiplication

MIT researchers have designed silicon structures that can perform calculations in an electronic device using excess heat instead of electricity. These tiny structures could someday enable more ...
Hosted on MSN

Matrix approach to solving linear systems in Python

Learn how to solve linear systems using the matrix approach in Python. This video explains how matrices represent systems of equations and demonstrates practical solutions using linear algebra ...
IEEE

Human Behavior Identification for Linear Systems in Adversarial Environments by Adaptive Inverse Reinforcement Learning

Abstract: This article is concerned with the human behavior identification problem for linear human-in-the-loop (HiTL) systems in adversarial environments. By modeling the human as an optimal ...
IEEE

BlockAMC: Scalable In-Memory Analog Matrix Computing for Solving Linear Systems

Abstract: Recently, in-memory analog matrix computing (AMC) with nonvolatile resistive memory has been developed for solving matrix problems in one step, e.g., matrix inversion of solving linear ...