Researchers developed an interpretable LightGBM machine learning framework that accurately identifies hypertension risk in ...

A combined machine learning framework pairing weighted collaborative filtering with extreme gradient boosting predicts ...

Reward hacking occurs when an AI system achieves a high measured reward through behavior that violates the designer's actual ...

Some AI models behave like mechanics — fixing issues in other models that they neither designed nor fully understand. Credit: ...

Urban flooding increasingly disrupts transport systems in rapidly urbanizing cities, yet road-oriented flood-susceptibility assessments that integrate recurrent flood observations with geographically ...

A research team comprising Md Samdani Azad, Minji Choi, and Tae-Hyung Lee has developed an explainable multi-target machine learning framework based on ...

Read the detailed methodology behind the Times Voter Trends reports for 2026. By Nate Cohn See more of our coverage in your search results.Encuentra más de nuestra cobertura en los resultados de ...

Amazon’s investments are boosting the Sooner State’s economy while creating opportunities for those who call Oklahoma home.

Instruction tuning uses examples of instructions and desired responses to make a pretrained model more useful, controllable, ...

Air pollution monitoring is essential for understanding environmental conditions and assessing potential health risks. This project implements a machine learning-based approach to predict PM2.5 ...

Developing reliable machine learning models for healthcare can be challenging when only small datasets are available. This challenge motivates research into whether quantum computing approaches can ...

Developing reliable machine learning models for healthcare can be challenging when only small datasets are available. This challenge motivates research into whether quantum computing approaches can ...