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 ...

Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter adjustments. It started with the ...

Deep learning has emerged as a transformative tool for the automated detection and classification of seizure events from intracranial EEG (iEEG) recordings. In this review, we synthesize recent ...

This project implements state-of-the-art deep learning models for financial time series forecasting with a focus on uncertainty quantification. The system provides not just point predictions, but ...

Aiming to address the complexity and uncertainty of unmanned aerial vehicle (UAV) aerial confrontation, a twin delayed deep deterministic policy gradient (TD3)–long short-term memory (LSTM) ...

Abstract: Deep reinforcement learning has shown great potential in the field of robot control, but it still faces challenges in continuous control tasks. Traditional reinforcement learning algorithms ...