In an environment defined by labor shortages, rising uptime expectations and pressure to improve overall equipment effectiveness (OEE), simple data collection is no longer enough.

Science in the modern era is increasingly reliant on enormous datasets and automated analysis. In astronomy, the Vera C. Rubin Observatory's Legacy Survey of Space and Time (LSST)—a ten-year survey ...

Startups are advancing six key technologies in food production: fermentation systems, cell cultivation, molecular analysis, 3D printing/extrusion, material recovery, and AI-powered quality inspection, ...

Shallem, Greg Ravikovich and Eitan Har-Shoshanim examine how AI addresses the challenge of data overload in solar PV.

In the study “Human-AI Synergy in Statistical Arbitrage: Enhancing Robustness Across Volatile Financial Markets,” published in the journal Risks, the researcher investigates how combining AI with ...

Over 40,000 years ago, our early ancestors were already carving signs into tools and sculptures. According to a new analysis by linguist Christian Bentz at Saarland University and archaeologist Ewa ...

The AI adverse event problem nobody is talking about reveals risks in FDA-cleared surgical devices lacking robust clinical trials.

Discover how Imaris 11 streamlines image analysis with automated workflows, reproducibility tools, and powerful batch processing.

Despite significant mathematical refinements, econometrics has shown the weaknesses of its logical underpinnings, primarily during economic turning points—financial crises, pandemics, and geopolitical ...

As the global data revolution continues, it becomes increasingly important to focus on the quality of data and its analysis. Manufacturing investments in simulation software, machine learning, and ...

A new study suggests that lenders may get their strongest overall read on credit default risk by combining several machine learning models rather than relying on a single algorithm. The researchers ...