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UrduImproving clinical outcomes in stroke patients by closing a gap between successful re-opening of a blocked vessel through endovascular surgery and a reduction of disability is the focus of a $2.5 million grant awarded to UTHealth Houston researchers.
Tag: machine-learning
Evaluating underlying factor structures using novel machine learning algorithms: An empirical and simulation study
Abstract The scale development paradigm was created to improve the measurement of latent constructs. Although several statistical techniques have been successfully integrated into the overall process, identifying factor patterns and validating constructs using smaller datasets with different correlational structures remain…
A new way to let AI chatbots converse all day without crashing
When a human-AI conversation involves many rounds of continuous dialogue, the powerful large language machine-learning models that drive chatbots like ChatGPT sometimes start to collapse, causing the bots’ performance to rapidly deteriorate.
Novel machine-learning method produces detailed population trend maps for 550 bird species
Scientists at the Cornell Lab of Ornithology have developed a novel way to model whether the populations of more than 500 bird species are increasing or decreasing.