We think norms spread by imitation, but one deceptively simple rule tells a more human story

A paper appearing in Proceedings of the National Academy of Sciences offers a strikingly simple answer to a longstanding ...
GitHub

Learning Nonlinear Dynamics in Physical Modelling Synthesis using Neural Ordinary Differential Equations

audio/ includes all sound examples for the datasets used in the paper. Some of these sound examples are presented on the accompanying web-page. cfg/ includes configuration files for experiments. src/ ...
GitHub

Nonlinear Model-Predictive Control Using Koopman Operator

This document provides a detailed explanation of the MATLAB code that demonstrates the application of the Koopman operator theory for controlling a nonlinear system using Model Predictive Control (MPC ...
Mashable

10 cool examples of Project Genie, the AI world model that sent video game stocks diving

Google rolled out a brand new experimental AI tool last Thursday called Project Genie. By Friday, video game stocks were tumbling as a result. Gaming industry giants like Unity Software, Roblox, ...
eLife

Nonlinear transcriptional responses to gradual modulation of transcription factor dosage

This important work develops a new protocol to experimentally perturb target genes across a quantitative range of expression levels in cell lines. The evidence supporting their new perturbation ...
The Motley Fool

What Is a Statistical Model? Overview and Example

Statistical models predict stock trends using historical data and mathematical equations. Common statistical models include regression, time series, and risk assessment tools. Effective use depends on ...
IEEE

Tracking Control of Nonlinear Switched Multi-Agent Systems Via Model-Dependent Edge-Node-Combined Dynamic Event-Triggered Strategies

Abstract: This research investigates the problem of exponential tracking consensus for nonlinear switched multi-agent systems (NSMASs) under limited communication resources. To alleviate the ...
Scientific Research Publishing

Modelling and Analysis of Rolling Bearing Fault Diagnosis Processes Based on Nonlinear Dynamics ()

In order to better extract the displacement fault signals inside bearings based on the vibration characteristics of rolling bearings after failure, a two-degree-of-freedom model simplifying the ...
The Verge

Google’s latest AI model uses a web browser like you do

The new Gemini 2.5 Computer Use model can click, scroll, and type in a browser window to access data that’s not available via an API. The new Gemini 2.5 Computer Use model can click, scroll, and type ...
IEEE

Approximate Nonlinear Model Predictive Control With Safety-Augmented Neural Networks

Abstract: Model predictive control (MPC) achieves stability and constraint satisfaction for general nonlinear systems but requires computationally expensive online optimization. This brief studies ...
Scientific Research Publishing

Dehghan, M. (2005) Numerical Solution of a Class of Nonlinear Boundary Value Problems Using Collocation Methods. Mathematical and Computer Modelling, 41, 1395-1407.

ABSTRACT: This study presents a comprehensive numerical investigation of fourth-order nonlinear boundary value problems (BVPs) using an efficient and accurate computational approach. The present work ...