Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

Data is fundamental to hydrological modeling and water resource management; however, it remains a major challenge in many ...

The new toolkit integrates with Keysight’s device modeling software to automate parameter extraction and shorten compact-model and PDK development cycles.

Lawrence Berkeley National Laboratory (Berkeley Lab) is working to transform petabytes of imaging data from advanced light ...

From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...

The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...

Researchers led by Assoc. Prof. Dr. Savaş Taşoğlu from the Department of Mechanical Engineering at Koç University have developed a new, open-access and machine learning-assisted design tool aimed at ...

Neel Somani has built a career that sits at the intersection of theory and practice. His work spans formal methods, mac ...

Find out how machine learning analyses WhatsApp voice messages to identify depression and what this could mean for future ...

A recent study, “Picking Winners in Factorland: A Machine Learning Approach to Predicting Factor Returns,” set out to answer a critical question: Can machine learning techniques improve the prediction ...