A recent study explored rapid evaporative ionization mass spectrometry (REIMS) as a high-throughput, real-time alternative. By analyzing metabolomic fingerprints from pig neck fat, REIMS was combined ...
The Kolmogorov-Arnold Network (abbr. KAN) is a novel neural network architecture inspired by the Kolmogorov-Arnold ...
Explore why the "excellent" quality of Himalayan springs is misleading. Learn how shallow aquifers and unplanned land use are ...
Taken together, these signals operationalize a data-centric oversight model. They also raise a practical question for CMC and ...
Shallem, Greg Ravikovich and Eitan Har-Shoshanim examine how AI addresses the challenge of data overload in solar PV.
Researchers report that the integration of machine learning and Internet of Things (IoT) technologies is enabling a new ...
At Pittcon 2026 in San Antonio, Dr. Lenka Halámková of Texas Tech walked through a multimodal workflow that combines Raman and ATR-FTIR scans of human nail clippings with classification algorithms to ...
Combining process excellence with condition-based monitoring creates a predictive maintenance system that reduces downtime and costs. Strong processes streamline work, improve safety, and ensure ...
Just over a month after Cook County Chief Judge Charles Beach ordered an urgent review of the county's electronic monitoring program, changes are being made in an effort to more quickly track down ...
The pharmaceutical sector is entering a decisive moment in its digital transformation as regulators move to define how artificial intelligence can be deployed in manufacturing. A new scientific review ...
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