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 ...

Machine learning algorithms help computers analyse large datasets and make accurate predictions automatically.Classic models ...

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

As automation grows, artificial intelligence skills like programming, data analysis, and NLP continue to be in high demand ...

Quantum machine learning is being explored as the next frontier in cybersecurity, but new research shows it remains far from replacing established artificial intelligence systems in detecting phishing ...

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 ...

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

Before a child goes into an operating room, a large screen displays a risk score. This score predicts potential complications ...

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 ...

AI is becoming part of everyday newsroom workflows and journalists are seeking ways to use it effectively, responsibly, and ...

This article digs into how machine learning (ML) and artificial intelligence (AI) contribute to the optimization of green ...