From a governance perspective, the use of explainable AI is particularly significant. Infrastructure decisions involve public ...

For more than 50 years, scientists have sought alternatives to silicon for building molecular electronics. The vision was ...

In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...

Scientists have developed a floating PV digital twin system, trained on data from 155 physical experiments, using a two-tier artificial neural network (ANN) with a high-fidelity model and a ...

Why disruptions now arrive stacked, not isolated—and how continuous reinvention has become the only viable strategy for ...

Balancing electronic and ionic charge carriers in polymer nanofilms significantly improves physical reservoir computing, a ...

The Atlantic is emerging as one of the most fragile pressure points in the climate system, with several new lines of research ...

As renewable power rapidly reshapes global electricity systems, engineers face a growing challenge: how to operate increasingly complex grids with ...

Even with simulation, critical failure modes like resonance-induced fatigue and connection looseness can emerge during ...

The tool rush taught us what's possible. Now it's time to build the systems that make those possibilities scalable, & ...

Beijing's metro system could soon carry express parcels alongside commuters during quiet periods, according to a new operational blueprint published ...

Light that twists as it travels and materials whose internal order is knotted like a pretzel are starting to collide in the ...