Social-emotional skills are vital for students to develop in school to be prepared to work in an economy powered by ...

Abstract: The paper examines how Hybrid Machine Learning and Real-Time Data Integration can be used to optimize the construction project schedule using the Google Cloud AI Platform. By using the ...

Cambridge researchers are developing an artificial intelligence tool that could tell councils which social housing tenants ...

Abstract: Accurate and interpretable suicide risk assessment is critical for timely intervention in mental health contexts. This study presents an explainable machine learning approach for suicide ...

Mental Health Issues and 24-Hour Movement Guidelines–Based Intervention Strategies for University Students With High-Risk Social Network Addiction: Cross-Sectional Study Using a Machine Learning ...

Researchers at the University of Glasgow have developed a new way to test networks, which they claim is 25,000 times faster than traditional approaches. Shenjia Ding, a research student at the ...

As major news outlets cut off the Wayback Machine, journalists and advocacy groups are rallying to protect the Internet Archive’s vast collection of web pages. USA Today Co., the publishing ...

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 ...

AI cyberattacks are rapidly transforming the cybersecurity landscape, enabling attackers to automate and scale operations with unprecedented speed. Through machine learning hacking, adversaries can ...

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Long-term preservation of digital information has long challenged archivists and datacenters, as magnetic tapes and hard drives degrade within decades. Existing archival storage solutions have limited ...