Electrocatalysis sits at the heart of clean hydrogen production, fuel cells, and carbon dioxide conversion, yet progress toward scalable, ...

Predictive maintenance (PdM) is a process used to monitor equipment during an operation with the purpose to identify any deterioration. It helps to plan maintenance schedules and reduce operational ...

California lawmakers introduced two bills yesterday that would significantly restrict how employers use artificial intelligence to make ...

Klemensas Mecejus explains why predictive, agent-based AI could finally crack construction’s productivity and cost overrun ...

Data inconsistencies arise when formats, units, or collection practices change over time, undermining model reliability. Poor ...

Introduction You are tasked to lead a 40-truck convoy resupplying combat troops at the front during large-scale combat ...

Investments in automation and additional tools for data analytics keep coming to packaging lines as plants become more connected. Machine learning and digital twin technology are increasing throughput ...

A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...

Paramount Business Jets reports that advances in aviation tech enhance safety by improving turbulence prediction, situational ...

In the dynamic landscape of aerospace technology, artificial intelligence (AI) emerges as the catalyst for revolutionary advancements. The Aerospace Artificial Intelligence Market witnesses an ...

This paper presents a novel framework for optimizing Carbon Release (CR) through an AI-driven approach to Fossil Fuel Intake (FFI) management. We propose a new training methodology for AI models to ...