Volvo CE designs smarter with model-based systems engineering (MBSE). By connecting requirements, models and field data into ...

Industrial automation is entering a new era with physical AI, where machine learning meets real-world motion control.

TotalEnergies partnered with Honeywell to deploy machine learning technologies at its Port Arthur Refinery in Texas, ...

I believe the next decade belongs to what I call Super Architects, the people who sit at the intersection of business, ...

This article provides a retrospective on one such case: the TRIPS project at the University of Texas at Austin. This project started with early funding by the National Science Foundation (NSF) of ...

We now turn our attention to the process of understanding practically how the solution will fit in with – and usefully ...

Kajal Sheth, Staff Engineer at Reactivate, discusses how engineering, data science, and AI are converging to shape the future of community solar and enhance clean energy resilience in the U.S.

Dr. James McCaffrey presents a complete end-to-end demonstration of decision tree regression from scratch using the C# language. The goal of decision tree regression is to predict a single numeric ...

A NIMS research team has developed an automated high-throughput system capable of generating datasets from a single sample of a superalloy used in aircraft engines. The system successfully produced an ...

IRT Jules Verne, working with Airbus, Daher and French consortium developed a mobile robotic inspection platform that uses ...

This study introduces an innovative cloud-based Genome-Wide Association Study (GWAS) platform​that addresses critical challenges in genomic research, including inefficient data access, high ...

Leviton Introduces New High-Density Solutions and Resources for AI Networks and Hyperscale Data Centers Company announces new network infrastructure solutions with 3,456-fiber density per rack unit, ...