TL;DR: Predictive analytics influences day-to-day decisions once forecasts change behavior rather than sit inside ...

These findings are detailed in Integration of Artificial Intelligence in Food Processing Technologies, a detailed review that ...

Edge AI addresses high-performance, low-latency requirements by embedding intelligence directly into industrial devices.

A validated nomogram helps predict thyroid dysfunction in type 2 diabetes using common clinical markers. Learn how this model ...

At MD&M West 2026, Critical Manufacturing showcases a platform that converges MES, analytics and AI to power data-driven ...

Data-driven AI systems increasingly influence our choices, raising concerns about autonomy, fairness, and accountability. Achieving algorithmic autonomy requires new infrastructures, motivation ...

Researchers at UMass Lowell have uncovered an innovative way to spot Alzheimer’s disease long before the first official ...

Building on this milestone, the collaboration embeds AI-driven forecasting directly into frontline biosecurity operations, enabling XWELL teams to collect more samples from more locations by ...

This dual experimental-numerical approach provides a rare, holistic view of bonded joint performance under ballistic loading, ...

The US Food and Drug Administration (FDA) and the European Medicines Agency (EMA) just issued a joint statement outlining 10 “Guiding Principles” ...

EDN announces this year’s winners of the Electronic Products Product of the Year Awards, selected by the editors.

A new guide from NUS shows how food companies and researchers can move AI from black-box models to reliable tools for ...