Background Problem gambling among sexual and gender diversity (SGD) populations has received increasing attention in research. While the literature shows that these populations are more likely than ...
AI text detector accuracy is worse than most institutions realize. New research from Pindrop and the Authors Guild confirms that skilled human writers are systematically flagged as AI-generated — and ...
A University of Washington team is helping scientists tell their own stories with a free tool that converts dense, ...
The regulatory intelligence platform’s Abstract Workers are custom built to automate tasks like producing daily reports on agencies, sending notifications related to trending social media posts and ...
A patent-pending innovation created and validated in Purdue University’s College of Engineering could strengthen ...
Introduction Autistic children can experience elevated levels of emotional and behavioural problems, which adversely impact their psychosocial functioning. Positive parenting behaviours can ...
Researchers around the world are racing to develop new quantum-based systems for sensing, communication, computing and control that have the promise of outperforming traditional systems. Creating ...
Summary: Researchers discovered the first definitive neural evidence of how the brain creates and reuses abstract symbols to think creatively. The research tracks the neural substrates of ...
Abstract: Sample augmentation is crucial for improving land-cover classification performance when the samples are limited. However, the traditional sample augmentation approach concentrates on ...
Matthews is a fellow of science and technology policy at Rice University’s Baker Institute for Public Policy. Russell is the Huffington fellow in child health and L.E. Simmons senior fellow in health ...
Introduction: Adolescence is characterized by reductions in daily physical activity and nightly sleep, which may increase the risk for worse cardiometabolic health. This study examined the ...
Abstract: Sample alignment is recognized as a vital component of vertical federated learning, which facilitates the integration of differential samples and high-quality model training. In this trend, ...
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