The “one big breakthrough” pattern suggests that total citation counts can mislead. A researcher with one highly-cited paper ...
To fully harness AI’s potential, KRA should pair its internal modernisation efforts with selective adoption of proven ...
Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning ...
Grammatical error correction (GEC) is a key task in natural language processing (NLP), widely applied in education, news, and ...
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New method helps AI reason like humans without extra training data
A study led by UC Riverside researchers offers a practical fix to one of artificial intelligence's toughest challenges by ...
Candidates can access the HP SET Syllabus 2026 PDF Download link to identify exam-relevant topics. Studying only topics that ...
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Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics
MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to ...
Background While the incidence of hospital adverse events appeared to be declining before 2019, the COVID-19 pandemic may ...
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