Assessing the progress of new AI language models can be as challenging as training them. Stanford researchers offer a new approach.

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 ...

Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

When someone starts a new job, early training may involve shadowing a more experienced worker and observing what they do ...

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 ...