Energy use in healthcare is a growing policy concern. Hospitals account for a significant share of public sector emissions, ...

Machine learning is reshaping the way portfolios are built, monitored, and adjusted. Investors are no longer limited to ...

Artificial intelligence is changing how we predict river flow—but a new study led by researchers at the University of British ...

AI financial forecasting has become a cornerstone in modern finance, enabling institutions to process complex datasets and predict market trends with unprecedented speed and precision. In AI in ...

Abstract: Financial trading environments are characterized by high volatility, numerous macroeconomic signals, and dynamically shifting market regimes, where traditional reinforcement learning methods ...

Train LSTM (Long Short-Term Memory) neural networks to forecast global temperature anomalies using deep learning. This project demonstrates how deep learning can capture complex climate patterns and ...

MIAMI — The Atlantic hurricane season, which draws to an official close on Sunday, fulfilled forecasts it would be an active year. There were 13 named storms and three Category 5 hurricanes. But, for ...

ABSTRACT: Under the context of global climate change, the frequent occurrence of strong winds in Guyuan has significantly hindered the development of local facility agriculture. Using hourly ...

People are now betting on everything. Prediction markets are amplifying those signals. The timing of the U.S. government shutdown. The likelihood of Taylor Swift canceling a tour date. The exact day ...

This project provides a modern, well-structured implementation of hierarchical time series forecasting methods. It supports various forecasting algorithms (ARIMA, Prophet, LSTM) and reconciliation ...

The Indian monsoon, which usually begins its slow northward sweep around the start of June, brings three-quarters of the country’s annual rainfall. That makes it essential for agriculture, on which ...