Behavior-Derived Intelligence Transforms How Recovery Is Supported, Measured, and Sustained Human behavior leaves a ...
Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
Two researchers advocate for new AI-based measures not because they offer measurement free from error, but rather because they avoid specific problematic forms of error linked to overreliance on ...
QA teams now use machine learning to analyze past test data and code changes to predict which tests will fail before they run. The technology examines patterns from previous test runs, code commits, ...
In the article that accompanies this editorial, He et al 8 used a machine learning (ML) algorithm to identify patients with advanced cancer who were receiving non–curative-intent treatment and at risk ...
Right now, every industry faces discussions about how artificial intelligence might help or hinder work. In movies, creators are concerned that their work might be stolen to train AI replacements, ...
Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has ...
Machine learning is a multibillion-dollar business with seemingly endless potential, but it poses some risks. Here's how to avoid the most common machine learning mistakes. Machine learning technology ...
Researchers sought to determine an effective approach to predict postembolization fever in patients undergoing TACE.