In a recent paper, SFI Complexity Postdoctoral Fellow Yuanzhao Zhang and co-author William Gilpin show that a deceptively ...

Stock Price Prediction, Deep Learning, LSTM, GRU, Attention Mechanism, Financial Time Series Share and Cite: Kirui, D. (2026) ...

Every year, the Earth shakes thousands of times. Most of those tremors go unnoticed, felt only by sensitive instruments ...

Read more about Deep learning and AI unlock new era of solar energy forecasting and performance on Devdiscourse ...

A quantum system built from just nine atoms has outperformed classical artificial intelligence models containing thousands of ...

Can a handful of atoms outperform a much larger digital neural network on a real-world task? The answer may be yes. In a ...

Climate change has emerged as a significant global challenge, necessitating accurate prediction and analysis of weather patterns. This study explores the application of machine learning (ML) ...

Put down the pen and paper and shelve the spreadsheets. Artificial intelligence (AI) and advanced machine learning are the next-generation tools for demand forecasting in distribution. That was the ...

Production-ready machine learning system that predicts bike rental demand using real-world public APIs and historical data. Built with Docker-first architecture for seamless deployment, the system ...

This study investigates whether anomaly-aware modeling can improve stock price forecasting by incorporating signals that highlight unusual market behavior. Financial time series often contain sudden ...