O n Tuesday, researchers at Stanford and Yale revealed something that AI companies would prefer to keep hidden. Four popular ...

A new report by HEPI and Taylor & Francis explores the potential of AI to advance translational research and accelerate the ...

Computers found what human experts missed: a divide between aging biology research and patient care that decades of funding ...

AI is rapidly reshaping scientific research by accelerating writing, discovery, and productivity. However, the same tools risk flooding academia with lower-quality research, challenging traditional ...

As the fall semester came to a close, Andrew Heiss, an assistant professor in the Department of Public Management and Policy at the Andrew Young School of Policy Studies at Georgia State University, ...

UGC NET Paper 1 Syllabus 2025: Are you aiming for the UGC NET Exam? You must start your preparation by checking the syllabus and pattern. It highlights all the important topics and areas. The best ...

CBSE Class 10 English Previous Year Question Paper - Preparing for the CBSE Class 10 English Board Exam becomes much easier when students practice with Previous Year Question Papers. These last 5 ...

AI research in question as author claims to have written over 100 papers on AI that one expert calls a ‘disaster’ A single person claims to have authored 113 academic papers on artificial intelligence ...

Generative AI has become deeply integrated into daily life. People increasingly rely on it to think, create, and make decisions. Yet, as organizations scale their use of generative AI tools, a quiet ...

Objectives COVID-19, a public health emergency affecting the world in 2019, not only greatly promoted the development and application of vaccines but also effectively shortened the publishing time of ...

According to a report by The Washington Post, scientists with the Environmental Protection Agency's Office of Water were ordered by "political appointees" to stop work on studies that were headed for ...

Abstract: Since traditional text categorization methods often have unsatisfactory model performance in environments with complex topic semantics and sparse data. In this paper, a BERTopic English ...