Researchers have used machine learning to dramatically speed up the processing time when simulating galaxy evolution coupled with supernova explosion. This approach could help us understand the ...

Magnetic materials are in high demand. They're essential to the energy storage innovations on which electrification depends ...

LCGC International interviewed Bob Pirok from the University of Amsterdam, Netherlands to discuss strategies for enhancing ...

Researchers have developed a technique that significantly improves the performance of large language models without ...

A new machine learning approach identifies cellular senescence at single-cell resolution across varying cell types and tissue ...

To flexibly and robustly handle diverse problems, AI systems can leverage dual-process theories of human cognition that ...

This paper investigates the identification of cyberbullying using machine learning approaches, especially using Natural Language Processing (NLP) techniques. Particularly for teenagers, ...

This paper focuses on developing a Machine Learning (ML) framework for classifying neurological disorders using longitudinal Resting State Functional Magnetic Resonance Imaging (rs-fMRI) samples.