Editor’s Note: There’s a quiet arms race underway on Wall Street, and it’s not about who trades fastest anymore. It’s about ...
A mapping project at the University of Tennessee at Chattanooga is drawing international attention for how it explains a local problem. UTC’s Center for Applied Geospatial Data Science (CAGDS) earned ...
TradeSmith CEO Keith Kaplan has introduced an AI-powered trading platform that detects repeating patterns in market data with ...
At HRS 2026, Dr. Song Zuo presented evidence that AI can detect atrial fibrillation with over 90% sensitivity, ...
A collaborative research group has shown that biological neurons can be trained to perform a temporal pattern learning task that was previously carried out by artificial systems. (Nanowerk News) A ...
A research team at Tohoku University and Future University Hakodate has demonstrated that living biological neurons can be trained to perform a supervised temporal pattern learning task previously ...
A noncontact virtual reality (VR) human-machine interface (HMI) was developed by electret-based triboelectric sensor (ETS), which could accurately recognize threedimensional (3D) gestures and largely ...
The present study proposes a machine learning framework of analyzing therapeutic music patterns to enable emotion recognition within intelligent systems. Since music has been shown to affect human ...
The SVM identified loss of appetite, flank discomfort, abdominal bloating or gurgling, and pale or yellowish complexion as the most discriminative features. Unsupervised clustering revealed four ...
ABSTRACT: This paper investigates the application of machine learning techniques to optimize complex spray-drying operations in manufacturing environments. Using a mixed-methods approach that combines ...
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