Coronado’s Oliver Horton sets all-classification state meet record to win Class 4A cross country title In last year's letdown at the state meet, Oliver Horton came out too fast, gassed out, and ...

A German cheese-maker is using a vision system and machine-learning algorithms to detect any defects in its cheeses, thus ...

A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results predicted a patient's risk of hepatocellular carcinoma (HCC), the most common ...

Cambridge AI startup Theia Insights has raised $8M to scale its dynamic company classification platform for financial markets ...

Metabolic-associated steatotic liver disease (MASLD) is a clinically heterogeneous condition with highly variable outcomes affecting more than 30% ...

Passive Brain-Computer Interfaces (pBCIs) have shown significant advancements in recent years, indicating their readiness for ...

Researchers have optimized a headspace sorptive extraction (HSSE) method coupled with gas chromatography-mass spectrometry ...

This proposal outlines a machine learning-based approach aimed at improving productivity in haulage operations within ...

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 ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions or values from labeled historical data, enabling precise signals such as ...