Behavior-Derived Intelligence Transforms How Recovery Is Supported, Measured, and Sustained Human behavior leaves a ...

Using machine learning, an electronic nose can "smell" early signs of ovarian cancer in the blood. The method is precise and, ...

Stephen Whitelam, a researcher whose work spans thermodynamic theory and machine learning, has described a framework for ...

Machine learning enhances proteomics by optimizing peptide identification, structure prediction, and biomarker discovery.

Princeton has firmly established its presence at the forefront of AI research — including transformative work in humanities scholarship.

“Tooth agenesis, a congenital condition characterized by the absence of one or more teeth, is among the most common and ...

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.

A machine learning model predicted cardiac tamponade during AF ablation with high accuracy. Learn how XGBoost may improve ...

ML is poised to become faster and more accessible by 2026. Simply having the support of GenAI already gives it an advantage over other AI-based solutions.

Discover how AI is transforming nutritional science by turning complex diet and omics data into predictive tools that reshape chronic disease prevention and personalized care.

Read more about how machine learning and deep learning differ, where each is used, and how businesses choose between them in real scenarios.