In a recent analysis, SFI Complexity Postdoctoral Fellow Yuanzhao Zhang and collaborator William Gilpin reported that one ...

Eric D. Boyd of responsiveX previews his VSLive! 2025 session at Microsoft HQ in August where he explains how Azure ML ...

Technological innovations, particularly in the data and machine learning space, are pivotal in addressing the increasing ...

A research team from Kumamoto University has developed a promising deep learning model that significantly enhances the ...

Postpartum depression (PPD) affects up to 15% of individuals after childbirth. Early identification of patients at risk of ...

As web applications become more sophisticated to meet our daily needs, such as shopping and communication, they also become more vulnerable to data breaches. In 2024, web applications were the ...

Here, we developed interpretable machine learning models that can classify uranium minerals by secondary oxyanion chemistry and other physicochemical properties based solely on Raman spectra. This new ...

matching targeted mechanical responses within one to 15 percent accuracy, which were experimentally validated,” Espinosa said. Most approaches to machine learning-based inverse design require large ...

Researchers have developed a new machine learning algorithm that excels at interpreting optical spectra, potentially enabling faster and more precise medical diagnoses and sample analysis.