Unravelling how neural circuits generate complex behaviours remains one of the most compelling challenges in neuroscience. This endeavor requires tools that ...

Machine learning is transforming how crypto traders create and understand signals. From supervised models such as Random Forests and Gradient Boosting Machines to sophisticated deep learning hybrids ...

Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...

A multinational collaboration at Eitri medical innovation center in Bergen, Norway, has used machine learning models to ...

A multinational collaboration at Eitri medical innovation center in Bergen, Norway, has used machine learning models to identify patient groups at risk of being mistreated.

For a long time, the core idea in reinforcement learning (RL) was that AI agents should learn every new task from scratch, like a blank slate. This "tabula rasa" approach led to amazing achievements, ...

Land use and land cover (LULC) information underpins studies in climate science, disaster management, food security, and ...

Abstract: Power converters are integral to modern power systems and industrial applications, facilitating efficient and reliable energy transfer between sources and loads. However, their widespread ...

Abstract: Existing magnetic anomaly detection (MAD) methods are widely categorized into target-, noise-, and machine learning-based methods. This article first analyzes the commonalities and ...