The CT-based whole-lung radiomic nomogram accurately identifies AECOPD and offers a robust tool for clinical diagnosis and treatment planning.
While self-healing agentic test suites can help eliminate the manual intervention consuming engineering cycles, there are key ...
The hybrid model is emerging as the framework for trustworthy AI in test analytics. It retains traceability and supports ...
Wearables, Mobile Health (m-Health), Real-Time Monitoring Share and Cite: Alqarni, A. (2025) Analysis of Decision Support ...
Today, MLCommons announced new results for the MLPerf Training v5.1 benchmark suite, highlighting the rapid evolution and ...
These questions come from my Udemy training and the certificationexams.pro website, resources that have helped many students pass the DP-100 certification. These are not DP-100 exam dumps or ...
We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...
AI-Powered Loan Matching Delivers Instant Approval and Transparent Terms for America's Underserved BorrowersGlendale, CA, Nov. 10, 2025 (GLOBE NEWSWIRE) -- RadCred, a budding AI-powered loan matching ...
New research shows AI can use people’s faces to estimate the year a photo was taken, combining age guesses with known birth years to beat current scene-based methods. Guessing the date of a photo used ...
Prevailing AI architectures are not moving the needle. We need new ideas. Google Research proposes NL (nested learning). Here ...
Summary Militaries seeking an early-mover advantage in achieving technological supremacy over adversaries have begun experimenting with Large Language Models/Generative AI to solve military problems.
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