Models using established cardiovascular disease risk factors had satisfactory predictive performance for 5-year CVD risk in ...
Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of uncertainty.
AI fixes earnings forecasting when it expands coverage, standardizes signal extraction, and quantifies uncertainty. AI breaks forecasting when it creates false precision, synchronized expectations, ...
LLM Translation Hallucination Index 2026: Which Models Add, Drop, or Rewrite Meaning Most — Ranked
The promise of instant, near-perfect machine translation is driving rapid adoption across enterprises, but a dangerous blind ...
While demand planning accuracy currently hovers around 60%, DLA officials aim to push that baseline figure to 85% with the help of AI and ML tools. Improved forecasting will ensure the services have ...
DiaCardia, a novel artificial intelligence model that can accurately identify individuals with prediabetes using either ...
Introduction Accurate preoperative assessment of lymph node metastasis (LNM) is a key determinant of treatment selection in early gastric cancer (EGC), particularly when choosing between endoscopic ...
Many in the AI community believe that the next major revolution will be the era of self-improving AI where AI can improve ...
A new study utilizing artificial intelligence has identified specific behavioral patterns that predict alcohol preference in ...
For a project in Bangladesh, Prof. Mushfiq Mobarak and his team used machine-learning models applied to mobile phone records ...
Structural economic models, while parsimonious and interpretable, often exhibit poor data fit and limited forecasting performance. Machine learning models, by contrast, offer substantial flexibility ...
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