Overview: Interpretability tools make machine learning models more transparent by displaying how each feature influences ...

Overview: Clear problem definitions prevent wasted effort and keep machine learning work focused.Clean, well-understood data ...

Explainable AI plays a central role in validating model behavior. Using established explainability techniques, the study examines which financial variables drive fraud predictions. The results show a ...

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

The review finds that biocircularity represents the most advanced stage of this evolution. Unlike basic circular bioeconomy ...

Forget waiting a week for mold test results. New electronic nose technology detects toxic indoor mold species in just 30 ...

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

By contrasting nematode infection with drought stress, the study highlights both the potential and limitations of remote sensing for separating ...

As we move into 2026, the technology conversation is fast shifting from what AI can do to how organisations and professionals ...

We have curated the best books on AI for general readers including Karen Hao's popular Empire of AI, Parmy Olson's Supremacy, ...

Just because a critical failure hasn’t happened yet doesn’t mean it won’t happen in the future. The question becomes: If it ...

Want to change your behavior? How about your consumers' behavior? A new Georgetown study reveals how overlooked cues are the ...