AI-enhanced optical spectroscopy revolutionizes food quality monitoring with rapid, non-destructive analysis, ensuring safety and reducing waste in production.
The automatic detection of surface-level irregularities—defects or anomalies—in 3D data is of significant interest for ...
AI tools are frequently used in data visualization — this article describes how they can make data preparation more efficient ...
How aging thermal power plants can stay reliable amid rising AI-driven electricity demand through targeted maintenance and protective technologies.
PCA and K-means clustering applied to Raman and PL imaging reveal structural defects in silicon wafers, enhancing understanding of optoelectronic performance.
A recent AARO report outlines new standards for data collection, AI use, privacy, and civilian collaboration in advancing UAP research.
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