Objective: This study evaluated the feasibility of using a smartphone app to predict mental health risks in non-clinical adolescents by integrating active and passive data streams within a machine ...
Objective: This study compared a conventional logistic regression model with machine learning (ML) models using demographic and clinical data to predict outcomes at 2 and 6 months of treatment for MDR ...
Computer science student Ashley Baird is the kind of person who thrives on completing what she starts. Baird's drive to see things through resulted in a successful machine learning project for the U.S ...
Azillah Binti Othman, IAEA Department of Nuclear Sciences and Applications Ayhan Evrensel, IAEA Department of Nuclear Sciences and Applications The IAEA is inviting research organizations to join a ...
If there’s one universal experience with AI-powered code development tools, it’s how they feel like magic until they don’t. One moment, you’re watching an AI agent slurp up your codebase and deliver a ...
BISBEE, Ariz. (KGUN) — A $6 million project in Bisbee's San Jose neighborhood will transform an eight-acre lot behind a former middle school into an outdoor educational space. The lot behind Bisbee ...
A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
Court filings reveal how AI companies raced to obtain more books to feed chatbots, including by buying, scanning and disposing of millions of titles. In early 2024, executives at artificial ...
Abstract: Scaling Machine Learning (ML) workflows in cloud environments presents critical challenges in ensuring reproducibility, low-latency inference, infrastructure reliability, and regulatory ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results