A recent study carried out by researchers from EHU, the Materials Physics Center, nanoGUNE, and DIPC introduces a novel ...
Explore FE exam pass rates by discipline, scoring details, and tips to help you pass on your first attempt with thorough ...
(Editor’s Note: This is a section from Popular Science’s 38th annual Best of What’s New awards. Be sure to read the full list of the 50 greatest innovations of 2025 .) Steel is responsible for roughly ...
Saudi Arabia wants to build a 2 km skyscraper designed by Norman Foster, a project that would dwarf Burj Khalifa and rewrite the limits of engineering. This video breaks down the real challenges, from ...
Operating on other planets pushed NASA to rethink even the most basic technology. To handle extreme terrain, temperature swings, and vacuum conditions, engineers redesigned the wheel from the ground ...
Software engineering is the branch of computer science that deals with the design, development, testing, and maintenance of software applications. Software engineers apply engineering principles and ...
I am leaving this blog to spend more time making things in the workshop and, hopefully, finally mastering FreeCad – amongst other mountains to climb (both intellectual and physical). So this is a ...
Rob Dwyer-Joyce is Professor of Tribology and Lubrication Engineering in the Department of Mechanical Engineering. He is Director of the Centre for Doctoral Training in Integrated Tribology and ...
Hi, everyone, welcome.I'm Greg, and this is…Mwaksy, where are you?Hello? Hello! I'm here!I'm sorry I'm late, I was setting up a demo. Sure!So, I have a number of bricks here in this wheelbarrow,and I ...
Abstract: This study aimed to compare the overall performance of two prominent machine learning approaches for tackling classification problems: feature engineering-based learning and deep learning.
It is neccessary to unpack the .zip in the InverseBench main directory. The data are already available on the github repository. InverseBench: Inverse design benchmark suite that contains inverse ...
This repository implements Physics-Informed Neural Networks (PINNs) for power grid analysis and renewable energy applications. The project combines deep learning with physical constraints to solve ...