Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.
The IMF develops a machine-learning nowcasting framework to estimate quarterly non-oil GDP in GCC countries in real time, ...
A new study published in the International Journal of General Medicine showed that physicians may reliably estimate the ...
What if artificial intelligence could turn centuries of scientific literature—and just a few lab experiments—into a smarter, ...
A research team has developed a new way to measure and predict how plant leaves scatter and reflect light, revealing that ...
Explainable AI plays a central role in validating model behavior. Using established explainability techniques, the study examines which financial variables drive fraud predictions. The results show a ...
QVAC launches Genesis II, expanding the world’s largest synthetic AI dataset to 148B tokens and 19 domains for better ...
A new congressional report shows that China has benefited greatly from flawed U.S. efforts to shield intellectual property and technology.
This stock has strong momentum across hardware, software, and consumer services.
This issue of The Journal of Risk Model Validation features two papers that directly address validation using machine learning. Whether their findings imply we will all (including the editor) become ...
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