New AI method flags fluid flow tipping points before simulations break down

David J. Silvester, a mathematics professor at the University of Manchester, has developed a novel machine-learning method to ...
Tech Xplore

New method makes neural networks three times faster in wave propagation problems

Researchers at Skoltech have proposed a new approach to training neural networks for wave propagation in absorbing media. The ...

Simple Random Sampling: 6 Basic Steps With Examples

A simple random sample is a subset of a statistical population where each member of the population is equally likely to be ...
Scientific Research Publishing

A Material Removal Prediction Framework for Ball EEM Polishing in Precision Lens Manufacturing ()

Young, T. , Guymon, J. , Pankow, M. and Ngaile, G. (2026) A Material Removal Prediction Framework for Ball EEM Polishing in ...
Nature

Characterization and analytical techniques articles from across Nature Portfolio

Inducible amphipathic helices, unstructured domains found in cytosolic proteins that form an amphipathic helix upon binding to specific membranes, often play a role in organelle recognition and ...
Investopedia

7 Ways AI Can Revolutionize Investment Strategy

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...
IEEE

Approximating High-Order Adversarial Attacks Using Runge-Kutta Methods

Abstract: Adversarial attacks craft adversarial examples (AEs) to fool convolution neural networks. The mainstream gradient-based attacks, based on first-order optimization methods, encounter ...
IEEE

Credit Card Fraud Detection using Machine Learning: Methods, Challenges and Solutions

Abstract: Credit card fraud detection remains a critical challenge in the financial industry, demanding robust, scalable, and adaptive solutions. This paper explores the existing research landscape, ...