Models using established cardiovascular disease risk factors had satisfactory predictive performance for 5-year CVD risk in ...
Researchers developed a machine learning model that could identify children in the ED who were at risk for developing sepsis ...
Patients’ financial resources affect their enrollment in oncology clinical trials to a greater degree than traditional ...
Want to understand how multivariate linear regression really works under the hood? In this video, we build it from scratch in C++—no machine learning libraries, just raw code and linear algebra. Ideal ...
WIRED spoke with Boris Cherny, head of Claude Code, about how the viral coding tool is changing the way Anthropic works.
From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...
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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 ...
Tech Xplore on MSN
First-ever dataset to improve English-to-Malayalam machine translation fills critical gap for low-resource languages
The world's first dataset aimed at improving the quality of English-to-Malayalam machine translation—a long-overlooked ...
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