AI without business context fails to drive supply chain decisions. Predictive models and control towers generate signals, but ...

Suburban areas often struggle with a first- and last-mile mobility problem, where residents have difficulty reaching the ...

The word shortage has become controversial in trucking, at least when discussing drivers. When it comes to technicians, there ...

Rustam Gilfanov is an entrepreneur and researcher whose career unites industrial efficiency, scientific precision, and ...

Lt. Gov. Aruna Miller spent her career designing for humans behind the wheel. Now she's helping lead a state where AI drives ...

The president's fiscal 2027 blueprint contains significant overhauls to the work carried out by federal agencies.

Traffic congestion continues to slow average truck speeds and increase fuel consumption, overtime, and missed delivery ...

Overview By closely mimicking atom behavior, quantum processors offer the exact simulation needed to discover and design ...

He suggested taking time to understand the codes and standards in NFPA 855, “Standard for the Installation of Stationary ...

Scientia Militaria (South Africa Journal of Military Studies) has published a special issue on Expeditionary Logistics and ...

A UC Berkeley team used Apache Spark ML to predict airline delays at scale, training models on millions of flight records and ...

Researchers have developed a decision-aware forecasting framework for photovoltaic-battery energy storage systems, or PV-BESS ...