Not only were CFD sims cheaper than wind tunnel time, but they were also much faster at iterating. Early design work is now ...

This study presents a quantum photonic approach to time-series forecasting, enhancing prediction accuracy through multiphoton ...

As global economic and political volatility intensifies with the ongoing Iran conflict and other geopolitical tensions, the ...

Artificial intelligence (AI) is emerging as a powerful tool to predict food consumption patterns and guide policy decisions, ...

Combining machine learning and feature selection, this research accurately predicts aluminum levels in marine environments, ...

The future of conflict prediction relies on combining technical ability, institutional governance and ethical responsibility.

In my latest Signal Spot, I had my Villanova students explore machine learning techniques to see if we could accurately ...

While generative artificial intelligence (genAI) promises to transform classrooms through personalized learning, automated feedback, and real-time content generation, new evidence suggests that ...

A new satellite-based analytical framework enables accurate estimation of crop sowing and emergence dates at the field scale. By integrating daily ...

A new satellite-based analytical framework enables accurate estimation of crop sowing and emergence dates at the field scale.

Methane is the second most important anthropogenic greenhouse gas after carbon dioxide, with a global warming potential roughly 28–34 times greater over a 100-year timescale. Major sources include ...