Researchers worked with the Federal Reserve to create a predictive model that assesses hundreds of institutional ...

In the past decade, cloud-scale analytics tools have transformed the digital fight against deforestation. Instead of manual ...

Machine learning technique teaches power-generating kites to extract energy from turbulent airflows more effectively, ...

Currently deployed on 2,000+ trains, HMAX was first introduced by Hitachi Rail in 2024 as a comprehensive digital asset ...

Abstract: Due to the extensive computational burden of enumeration algorithm employed in finite control set model predictive control (FCS-MPC) for multilevel converters, this article proposes a ...

Heavy machinery is entering a new phase where hydraulics, electronics and embedded software are engineered as one integrated system. Using model-based systems engineering (MBSE) as a framework to ...

Engineers from Britain implemented a novel approach to improve how robots grip and handle fragile, slippery or asymmetric objects. The breakthrough slip-prevention method shows impressive results and ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. In this research work authors have experimentally validated a blend of Machine ...

Utilities are using AI to modernize the aging grid with tools to manage growing energy demands. Predictive maintenance and genAI assistants are predicting grid risk and reducing repair time. This ...

This work extends our prior work on the distributed nonlinear model predictive control (NMPC) for navigating a robot fleet following a certain flocking behavior in unknown obstructed environments with ...