Overview: Interpretability tools make machine learning models more transparent by displaying how each feature influences ...
Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.
A new study published in the International Journal of General Medicine showed that physicians may reliably estimate the ...
The IMF develops a machine-learning nowcasting framework to estimate quarterly non-oil GDP in GCC countries in real time, addressing long data lags and oil-driven distortions in headline GDP. By ...
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 reasoning in AI.
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.
While AI models may exhibit addiction-like behaviors, the technology is also proving to be a powerful ally in combating real ...
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