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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 ...
A new medical large language model (LLM) achieved over 91% accuracy in identifying female participants diagnosed with major ...
Models using established cardiovascular disease risk factors had satisfactory predictive performance for 5-year CVD risk in ...
Researchers worked with the Federal Reserve to create a predictive model that assesses hundreds of institutional ...
As financial crime grows in scale, speed, and sophistication, banks are increasingly turning to artificial intelligence, ...
In a meta-analysis published in Gut Microbes, investigators pooled shotgun metagenomic sequencing data to examine how gut ...
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