Environmental scientists are increasingly using enormous artificial intelligence models to make predictions about changes in ...

Using machine learning, MIT chemical engineers have created a computational model that can predict how well any given ...

Background There is a lack of atrial fibrillation (AF) prediction models tailored for individuals without prior ...

The Hatch Rate Prediction Model is a critical component of our Indigenous Smart Incubator, which uses machine learning ...

Typical Azure Machine Learning Project Lifecycle (source: Microsoft). At the upcoming Visual Studio Live! @ Microsoft HQ 2025 conference in Redmond, Eric D. Boyd, founder and CEO of responsiveX, will ...

To predict the formability of these kinds of glasses, Yale researchers have developed a machine learning model based on 201 alloy features constructed from the combination of 31 elemental features, ...

A key objective of behavioral science research is to better understand how people make decisions in situations where outcomes are unknown or uncertain, which entail a certain degree of risk.

Results Machine learning models trained on tabular data exhibit a 76% accuracy for the random forest model at predicting relapse evaluated with a 10-fold cross-validation (the model was trained 10 ...

The model showed promise in predicting PPD: nearly 30 percent of those predicted to be high risk developed PPD within the six months after delivery.

Breath Diagnostics, Inc. (the "Company"), developer of the patented OneBreath™ technology, which transforms a single exhale into powerful diagnostic data, is pleased to announce the results of a ...