Abstract: Tiny machine learning technologies are bringing intelligence ever closer to the sensor, thus enabling the key benefits of edge computing (e.g., reduced latency, improved data security, ...
Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.
Researchers in Slovakia have demonstrated a machine-learning framework that predicts PV inverter output and detects anomalies using only electrical and temporal data, achieving 100% accuracy in ...
AZoSensors on MSN
Photonic crystal fiber shows promise for tuberculosis screening
Terahertz photonic crystal fiber sensors, powered by machine learning, could transform tuberculosis detection with rapid and ...
The blood-based test by Astrin Biosciences shows high sensitivity and specificity across cancer stages and subtypes, ...
Phase III is intended to generate meaningful biological data on potential drug compounds prioritized by YuvaBio’s classifier, which applies proprietary machine-learning methods to identify candidates ...
Atlanta, GA, Dec. 17, 2025 (GLOBE NEWSWIRE) -- AIQuant Labs has launched DexTrader.ai, a machine learning-powered investment ...
Weeds pose the most persistent and costly threat to crop production in Canada, driving widespread herbicide use and accelerating the rise of herbicide-resistant species ...
Despite the excitement surrounding generative AI, the data shows that scientific research is still powered primarily by ...
Researchers at Thomas Jefferson University have developed an automated machine learning (AutoML) model that can accurately ...
Introduction: As the core equipment in industrial production, rotating machinery bearings play a critical role. However, traditional feature extraction algorithms for vibration signals are susceptible ...
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