An analysis of NeurIPS 2025 papers by startup GPTZero reveals how AI-generated citations are slipping into elite academic ...
NIT Jamshedpur hosts ICADCML 2026, highlights global research in distributed computing and machine learning | Education ...
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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 ...
The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...
OpenAI has unveiled “PaperBench,” a benchmark designed to evaluate how effectively AI agents can replicate innovative machine learning research. This initiative is a cornerstone of OpenAI’s broader ...
A new research paper shows the approach performs significantly better than the random-walk forecasting method.
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Machine learning identifies factors that may determine the age of onset of Huntington's disease
A team from the Faculty of Medicine and Health Sciences and the Institute of Neurosciences at the University of Barcelona ...
At the world’s largest artificial-intelligence conference, known as NeurIPS, Weichen Huang almost blended in. Last month in Vancouver, he was one of numerous researchers explaining their ...
Anuja Uppuluri used to spend a lot of time scrolling social media apps dictated by algorithms designed to keep users glued to their screens no matter how mind-numbing the content. “I always had ...
The IMF study shows that satellite data such as nighttime lights, air pollution, and vegetation health, when combined with machine-learning models, can reliably estimate Cambodia’s GDP growth in near ...
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