Tech Xplore on MSN
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 tech tool has been subject to criticism and controversy since being launched by the department five years ago.
Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...
Data inconsistencies arise when formats, units, or collection practices change over time, undermining model reliability. Poor ...
For a project in Bangladesh, Prof. Mushfiq Mobarak and his team used machine-learning models applied to mobile phone records ...
Find out how machine learning identifies country-specific health system drivers shaping global cancer survival and highlights ...
Social media company X has taken an uncommon step in an industry known for secrecy by publicly releasing the source code ...
Tech Xplore on MSN
How do we make sure AI is fair, safe, and secure?
AI is ubiquitous now—from interpreting medical results to driving cars, not to mention answering every question under the sun ...
DiaCardia, a novel artificial intelligence model that can accurately identify individuals with prediabetes using either ...
Researchers developed a machine learning model that could identify children in the ED who were at risk for developing sepsis ...
Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global ...
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