By learning the relevant features of clinical images along with the relationships between them, the neural network can outperform more traditional methods.

XRM microscopy, combined with machine learning, revolutionizes materials research by enhancing imaging techniques for failure ...

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

Fake news articles contained significantly higher levels of negative sentiment, including emotions such as fear, anger, ...

In a world-first pilot study, researchers from the University of South Australia have used video footage of insects to ...

Sunil Anumandla stands as a distinguished technology leader with over 15 years of comprehensive experience in revolutionizing ...

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

Regardless of whether it’s some fine Russian women dying to meet me or a rogue document for me to read from a mysterious ...

Market is driven by demand for geospatial information, increase in demand for earth observation satellites, supportive government initiatives and regulations. WILMINGTON, DE, UNITED STATES, July 7, ...

Imagine a world without disease. Sounds utopian? AI just made it a multibillion-dollar bet to discover drugs – and forget Big ...

DFKI has developed a system that makes agriculture more predictable, reduces risks and optimises the use of resources. With the help of satellite data and machine learning, the platform analyses ...

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 ...