Metric learning has significantly improved machine learning applications such as face re-identification and image classification using K-Nearest Neighbor (KNN) and Support Vector Machine (SVM) ...

In a study published in the journal Information Systems Research, Texas Tech University's Shuo Yu and his collaborators ...

A major scientific advance in protein modeling developed by Microsoft Research AI for Science, has been published in Science.

A response to recent largesse of large language modeling material. Reading the Communications March 2025 issue, it struck me ...

The strategic advantage of QML continues to expand its presence in industries that deal with complex, high-dimensional data.

AI's role in predictive analytics for energy savings helps Smart Cities manage resources more efficiently, say experts ...

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

Techniques such as Raman spectroscopy, Fourier-transform infrared (FTIR) spectroscopy, nuclear magnetic resonance (NMR), 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 ...

Machine learning interview questions now focus on both theory and real-world applications.Understanding basics like overfitting, bias, and regres ...

Semisupervised scheme has emerged as a popular strategy in the machine learning community due to the expensiveness of getting enough labeled data. In this paper, a semisupervised incremental support ...

FAYETTEVILLE, GA, UNITED STATES, July 1, 2025 /EINPresswire.com/ -- A sweeping new review reveals how satellites are helping scientists track a quiet but widespread shift in global agriculture: the ...