Machine learning models are designed to take in data, to find patterns or relationships within those data, and to use what ...

For decades, artificial intelligence has excelled at spotting patterns in data. Machine learning models can predict customer behavior, forecast market trends, or identify medical risks with high ...

Artificial intelligence and deep learning have revolutionized the field of neural data analysis in recent years. The explosion of complex, high-dimensional ...

Chepkwony, I. and Keter, J. (2025) Impact of Library Resource Utilization on Secondary School Students’ Performance in Chemistry at Uasin Gishu County, Kenya. Open Journal of Social Sciences, 13, ...

The open-source AI model improves transparency in predicting how proteins interact with other molecules, which could speed up drug discovery.

Objective Interstitial lung disease (ILD) represents the most common and severe organ manifestation observed in patients ...

Police officers, hospital staff and emergency workers often swear that their nights get busier under a full moon. But does ...

How much alcohol is “too much,” in terms of cancer risk? Identifying causes helps us make decisions — both as individuals and ...

For years, we believed the Himalayas were a climatic sanctuary—untouched, pristine, and resilient to the turbulence of ...

Abstract: Existing supervised and semisupervised methods for synthetic aperture radar (SAR) image change detection are limited by the scarcity of labeled data and the challenges of modeling ...

Due to the lapse in federal government funding, NASA is not updating this website. NASA's Science Mission Directorate (SMD) announces the release of its annual omnibus solicitation for basic and ...