Mechanistic interpretability is emerging as a strategic advantage for businesses looking to deploy AI responsibly.

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.

Researchers are using machine learning, symbolic regression, and high-performance computing to explore and classify string ...

Learn how to build your own GPT-style AI model with this step-by-step guide. Demystify large language models and unlock their ...

Severe weather events, such as heavy rainfall, are on the rise worldwide. Reliable assessments of these events can save lives ...

Traffic sign recognition is crucial for enhancing the safety and efficiency of intelligent transportation systems (ITS). This paper proposes a hybrid structure named DK-former, a lightweight and ...

In this work, we propose a Gaussian mixture model based anomaly detection algorithm for the identification of MUs. We first show that the presence of MUs degrades the CSS performance.

To our knowledge, no large-scale, multicenter study has comprehensively analyzed the various dimension predictors of adherence to electronic patient-reported outcomes (ePRO)-guided nutritional ...