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 ...
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 ...
Researchers at örebro University have developed two new AI models that can analyze the brain's electrical activity and accurately distinguish between healthy individuals and patients with dementia, ...
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) ...
Abstract: Quantum Neural Networks (QNN) and Quantum Long Short-Term Memory (QLSTM) models are emerging as powerful tools in quantum machine learning. The effectiveness of these models is largely ...
ABSTRACT: A degenerative neurological condition called Parkinson disease (PD) that evolves progressively, making detection difficult. A neurologist requires a clear healthcare history from the ...
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