Best known in ag for crop spraying and field mapping, drones can also be used for pollination, yield forecasting, and ...

IMF researchers show that satellite data, especially nighttime lights combined with machine learning can reliably estimate ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

AI is being used to replicate the human self, and without radical changes in human nature, the world will continue to be ...

According to A Survey of AI-Enabled Predictive Maintenance for Railway Infrastructure: Models, Data Sources, and Research Challenges, published in Sensors, AI-based predictive maintenance systems ...

From hacking hot flashes to postponing menopause altogether, here’s what’s on the horizon.

Amirali Aghazadeh receives funding from Georgia Tech. When NASA scientists opened the sample return canister from the OSIRIS-REx asteroid sample mission in late 2023, they found something astonishing.

Abstract: Malware poses a significant threat to network and information system security, particularly in industrial Internet of Things (IIoT) environments, where embedded systems and edge devices ...

Objective: To construct a prediction model for teicoplanin (TEIC) plasma concentrations through machine learning and deep learning techniques in patients with liver disease using real-world clinical ...

Background: Post-operative ileus (POI) is a frequent complication after radical cystectomy (RC). Conventional scores capture only linear relations and have limited accuracy. Interpretable machine ...

Washington, DC— Pairing cutting-edge chemistry with artificial intelligence, a multidisciplinary team of scientists found fresh chemical evidence of Earth’s earliest life—concealed in 3.3-billion-year ...