Beyond achieving technical excellence, the study underscores the practical utility of explainable AI in flood risk management ...

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

It can take as long as 18 months for children with suspected autism spectrum or attention-deficit-hyperactivity disorders to ...

This study presents a non-invasive approach to detect anxiety and depression through gait analysis and machine learning, ...

Global solar radiation (Hg) is a foundational input for calculating evapotranspiration, crop growth, irrigation needs, and ...

A Comparative Study of AI-Powered Chatbot for Health Care. Journal of Computer and Communications, 13, 48-66. doi: 10.4236/jcc.2025.137003 . The need for this research arises from the increasing ...

Artificial intelligence models used to detect depression on social media are often biased and methodologically flawed, ...

Microsoft researchers believe they have found a way to use machine learning to push those limits for small molecules (arXiv 2025, DOI: 10.48550/arXiv.2506.14665).

These include multimodal large language models (MLLMs), systems that can process and generate different types of data, predominantly texts, images and videos. Some of these models, such ...

More information: Zhenghao Yin et al, Experimental quantum-enhanced kernel-based machine learning on a photonic processor, Nature Photonics (2025). DOI: 10.1038/s41566-025-01682-5 ...

Accurate preoperative MVI detection can guide surgical planning but is limited by invasive histopathological exams and interobserver variability. This study evaluates the diagnostic performance of ...

Inside the Session What: Predicting the Future using Azure Machine Learning When: Aug. 7, 2025, 9:30 a.m. - 10:45 a.m. Who: Eric D. Boyd, Founder and CEO of responsiveX Why: Learn the fundamentals of ...