Deep learning is a cornerstone technology in modern AI. Startup Aria Networks is now applying that same layered intelligence ...

The information bottleneck (IB) principle is a powerful information‐theoretic framework that seeks to compress data representations while preserving the information most pertinent to a given task.

Krupchytskyi: Deep learning networks are particularly good at analyzing large amounts of unstructured data, like images and text. It's widely used in chatbots, image recognition like that required for ...

An international reserch team developed two deep learning-based IDS models to enhance cybersecurity in SCADA systems. The ...

Over the past decades, computer scientists have introduced numerous artificial intelligence (AI) systems designed to emulate ...

• Leaf vein network geometry can predict levels of resource transport, defence and mechanical support that operate at different spatial scales. However, it is challenging to quantify network ...

The increasing complexity of modern chemical engineering processes presents significant challenges for timely and accurate anomaly detection. Traditional ...

Predicting tropical cyclones (TCs) accurately is crucial for disaster mitigation and public safety. Although the forecasting accuracy of TC tracks has improved substantially in recent decades, ...

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