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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 ...
Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global ...
AI and machine learning are revolutionizing drug discovery, development, and lifecycle management, addressing industry ...
In the domain of metamaterials, the push toward automated design has been accelerated by advances in generative machine learning. The advent of deep ...
Researchers worked with the Federal Reserve to create a predictive model that assesses hundreds of institutional ...
A new medical large language model (LLM) achieved over 91% accuracy in identifying female participants diagnosed with major ...
Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...
As financial crime grows in scale, speed, and sophistication, banks are increasingly turning to artificial intelligence, ...
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
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