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 FBI doesn't need AI to conduct mass surveillance — it just needs access to the commercial data infrastructure that already blankets everyday life. The Guardian's report reveals that the real ...

Deep learning has been successfully applied in the field of medical diagnosis, and improving the accurate classification of ...

To move forward, they must stack transistors vertically and power them from within the silicon itself. The boldest ...

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

Although artificial intelligence (AI) has demonstrated potential in automating glaucoma screening, there is still a ...

If African governments rely primarily on foreign AI-native exploration firms, the informational premium the refined ...

A recent INMA Webinar featured Erica Greene, director of engineering for machine learning at Yahoo News, and Ritvvij Parrikh, ...

A high school student’s algorithm processed 200 billion infrared detections, revealing 1.5 million cosmic objects the world ...

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 ...

Abstract: In the Internet of Things (IoT) environment, to maintain the global consistency and generalization capability of federated learning (FL) models with good data privacy, a personalized FL ...

Background: Coronary Artery Disease (CAD) is one of the biggest causes of mortality worldwide. Risk stratification for early detection is essential for the primary prevention of CAD. QRISK3 is known ...