Researchers have developed a diagnostic panel that identifies cognitive decline by analyzing how blood proteins fold. This ...

Custom healthcare software holds real promise as part of a broader effort to address persistent healthcare gaps among men.

Support vector machines improve classification by mapping inseparable signals into higher-dimensional spaces. Random forest models, through ensemble decision trees, increase robustness against ...

A new study published in the journal Minerals sheds light on this sweeping shift. Titled Big Data and AI in Geoscience: From ...

Tiny particles bounce light around in a unique way, a property that researchers are using to detect pollutants in water and ...

Physical artificial intelligence (PAI) is the application of AI and machine learning (ML) algorithms to enable autonomous ...

Both approaches identified hemoglobin as one of the most significant predictors of CKD risk. Additional top-ranked features included blood urea, sodium levels, red blood cell count, potassium, and ...

According to Mercer's 2024 AI in Investment Management global manager survey, 91% of asset managers either currently use AI (54%) or plan to use it within their investment strategy or asset-class ...

Does cloud-free AI have the cutting-edge over data processing and storage on centralised, remote servers by providers like ...

Dr. James McCaffrey presents a complete end-to-end demonstration of decision tree regression from scratch using the C# language. The goal of decision tree regression is to predict a single numeric ...

Machine Learning (ML) is a subset of Artificial Intelligence that allows computers to “learn” from data. Ordinarily, in programming, we provide data and the expected output, and the machine does the ...

Gift from Thomas and Susan Dunn supports creation of the Bike Shop @UChicago, which aims to shape AI development and build scalable solutions to pressing societal problems A $20 million gift from ...