AI-enhanced optical spectroscopy revolutionizes food quality monitoring with rapid, non-destructive analysis, ensuring safety and reducing waste in production.

Statistical insights into machine learning analysis can help researchers evaluate model performance and may even provide new physical understanding.

Across the U.S., hundreds of sites on land or in lakes and rivers are heavily contaminated with hazardous waste produced by ...

Many in the chemical process industries (CPI) view generative artificial intelligence (genAI) as a powerful augmentation ...

Researchers have developed a diagnostic panel that identifies cognitive decline by analyzing how blood proteins fold. This ...

USEReady, a leading provider of Data Analytics Modernization and Agentic AI Automation solutions, today announced that it has supported Celanese, a Fortune 500 specialty materials and chemical company ...

Tiny particles bounce light around in a unique way, a property that researchers are using to detect pollutants in water and soil samples.

A new review titled Artificial Intelligence and the Discovery of Antibiotics: Reinventing with Opportunities, Challenges, and ...

The study AI Solutions for Improving Sustainability in Water Resource Management, published in Sustainability, offers a ...

Scientists at Rice University have produced the first full, dye-free molecular atlas of an Alzheimer’s brain. By combining ...

Xanadu (Xanadu Quantum Technologies Inc.), a world leader in photonic quantum computing, in partnership with Mitsubishi Chemical, a major Japanese chemical manufacturer, has announced the release of a ...

What can a honey bee tell us about human learning? According to researchers at Virginia Tech and Arizona State University, more than you might think. Their findings, published in Science Advances on ...