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

Every day, fish caught in oceans and seas around the world pass through a long journey before reaching supermarkets, ...

Researchers have mapped how hundreds of everyday environmental and lifestyle exposures, from diet and pollution to social ...

Read more about Smart wearable tech with AI brings real-time performance insights to strength training on Devdiscourse ...

Quantitative results show that only a small fraction of possible pathways linking AI outputs to decision mechanisms are actively implemented. In many cases, the majority of these pathways remain ...

Data science is everywhere, a driving force behind modern decisions. When a streaming service suggests a movie, a bank sends ...

Assessing the health impacts of persistent organic pollutants (POPs) in cetaceans is challenging due to ethical constraints ...

Through new improvements to existing AI models, researchers in China have created a framework that can methodically identify useful new forms of solid carbon. With their approach, Zhibin Gao and ...

Abstract: Many techniques for real-time trajectory optimization and control require the solution of optimization problems at high frequencies. However, ill-conditioning in the optimization problem can ...

The techniques that have served marketers for over fifty years are evolving rapidly, driven by artificial intelligence, increasing market volatility and a fundamental shift in what we expect ...

Abstract: In dexterous manipulation, learning-based methods have achieved success while requiring extensive data and lacking interpretability, whereas model-based methods are interpretable but costly ...