Deep Learning Dynamics Unveiling Deep Learning's Hidden Dynamics: When AI Training Behaves Like Shock Waves Explore the groundbreaking theory linking deep learning optimization to fluid mechanics, revealing how AI training can exhibit 'shock wave' phenomena and offering new insights for monitoring and controlling complex neural networks.
medical AI Advancing Medical AI: Regulating Anatomy-Aware Rewards for Precise CT Analysis Explore how Trajectory-Integral Feedback GRPO and the CABS framework are revolutionizing AI in medical Computed Tomography analysis, overcoming "evaluation hallucinations" for clinical accuracy.
PPG signals Advancing Medical AI: Benchmarking Trust and Accuracy in PPG Signal Analysis Explore how the QUMPHY project is setting benchmarks and datasets to build trust and standardization for AI and Machine Learning in analyzing Photoplethysmography (PPG) signals for critical medical diagnostics.
AI Diagnostics Precision AI Diagnostics: Unlocking Neural Network Efficiency with Physics-Based Repair Discover a revolutionary AI diagnostic pipeline that uses physics-based insights and surgical fine-tuning to pinpoint and fix neural network errors, reducing retraining costs by 82%.
Liver cirrhosis prediction AI Revolutionizes Liver Cirrhosis Prediction: Benchmarking Against Traditional Methods Discover how machine learning models, leveraging routine EHR data, significantly outperform traditional FIB-4 scores for early liver cirrhosis prediction, enabling proactive healthcare.
