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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 ...
Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...
Foundational Pillars Of Artificial Intelligence Artificial Intelligence didn’t just appear out of nowhere. It’s built on some ...
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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 ...
A new research paper shows the approach performs significantly better than the random-walk forecasting method.
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 ...
NIT Jamshedpur hosts ICADCML 2026, highlights global research in distributed computing and machine learning | Education ...
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 ...
Are you contemplating a PhD and interested in economic or social science applications of machine learning? You might be a good fit for our pre-doc position. The Center for Applied Artificial ...
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