Data-Driven Decisions: The well-known “data-driven decisions” approach comes into play with alerts and hard data that make it possible to scale logistics without fear of breaking the supply chain. At ...
New research looks at how leading AI models hold up doing actual white-collar work tasks, drawn from consulting, investment banking, and law. Most models failed.
Current foundation models outperform trainees on text questions but struggle with multimodal ophthalmic imaging ...
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 ...
The ChatGPT o1 Pro can accurately identify glaucoma from visual field and optical coherence tomography data, a study shows.
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
Abstract: The abstract is an imperfect defect detection model meant to classify various defects of castings. It presents an excellent precision, recall, and $\mathbf{F 1}$-score of six classes of ...
This paper presents ConvAttentionNet, a lightweight and high performing deep learning model developed for accurate and efficient classification of Polarimetric Synthetic Aperture Radar (PolSAR) ...
The company has since taken down the image of the accused killer. Fast fashion giant Shein is conducting an investigation of its internal processes after using the likeness of Luigi Mangione to model ...
ABSTRACT: This paper aims to investigate the effectiveness of logistic regression and discriminant analysis in predicting diabetes in patients using a diabetes dataset. Additionally, the paper ...
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