Accurately predicting complex agronomic traits remains a major bottleneck in crop breeding. This study demonstrates how ...

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

AI methods are increasingly being used to improve grid reliability. Physics-informed neural networks are highlighted as a ...

A research team shows that phenomic prediction, which integrates full multispectral and thermal information rather than ...

In 2025, the forces reshaping advertising and marketing were more than settling in. Artificial intelligence, privacy regulation, platform power, and economic ...

Tech’s founding prophets called the AI Revolution decades early, and got quite a few things wrong about it, finds Satyen K.

Overview: Autonomous AI agents will handle complex tasks, freeing humans for creativity, strategy, and oversight ...

From artificial intelligence-driven efficiency to transmission bottlenecks, power industry insiders share their perspectives ...

At a time when "memorization feels irrelevant," the academic institutions teaching the scions of the entertainment industry ...

This important study reports three experiments examining how the subjective experience of task regularities influences perceptual decision-making. Although the evidence linking subjective ratings to ...

As artificial intelligence moves from experimentation to production and cyber threats escalate, the Middle East is entering a ...

By training statistical and machine-learning models to predict expert visual scores, the study demonstrates that phenomics can match or outperform ...