In January 2026, Vertiv launched Vertiv Next Predict, an AI-powered managed service that uses continuous anomaly detection, predictive algorithms, and prescriptive actions to overhaul traditional data ...

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

Artificial intelligence has just turned one of astronomy’s most familiar workhorses into a discovery engine all over again.

FutureMain Co., Ltd., a specialized industrial AI company focused on equipment diagnostics and predictive maintenance, ...

Abstract: NASA's forthcoming Lunar Gateway space station, which will be uncrewed most of the time, will need to operate with an unprecedented level of autonomy. One key challenge is enabling the ...

Due to the complexity of hotel operation processes, abnormal situations are inevitable, making proactive anomaly prediction essential for ensuring operational stability. Although current deep learning ...

Advanced fraud detection system using machine learning to identify fraudulent transactions and activities. This project implements multiple machine learning algorithms including Random Forest, XGBoost ...

├── src/ # Source code modules │ ├── lstm_model.py # LSTM implementation with PyTorch │ ├── forecasting_models.py # ARIMA, Prophet, and statistical models │ ├── anomaly_detection.py # Anomaly ...

1 Independent Researcher, Atlanta, GA, USA. 2 Alumni, Nanyang Technological University, Singapore City, Singapore. As digital financial ecosystems expand in scale, complexity, and global reach, ...

Anyone can now download StarFall meteor detection software designed by Utah State University's Space Dynamics Laboratory. Meteors rarely cause terrestrial damage — but accurate and timely detection of ...