Data Scientist Ke Zhang’s Research Explores Homomorphic Encryption for Privacy-Preserving Marketing

A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted ...
AHA/ASA Journals

Contrastive Machine Learning to Quantify Hypertensive Multiorgan Damage and Identify New Disease Phenotypes: A Multinational Multimodal Study

BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...
Phys.org

AI doesn't just help us think, it thinks instead of us: What this means for the process of learning

Deep in Book VII of Plato's Republic, Socrates describes prisoners chained inside a cave, mistaking shadows cast on a wall by firelight for reality itself. They name the shadows, debate them and ...
STAT

Your sepsis algorithm shouldn’t require a time machine

You’re reading the web edition of STAT’s AI Prognosis newsletter, our subscriber-exclusive guide to artificial intelligence in health care and medicine. Sign up to get it delivered in your inbox every ...
IEEE

Performance Comparison of K-SVD, Discriminative K-SVD, and Approximate K-SVD Dictionary Learning Algorithms for Public Road Type Recognition

Abstract: In today's world, having the ability to drive has become of significant importance, especially while traveling. As a consequence, the importance of studying road safety is rising. Hence, the ...
IEEE

AML-K: An Analog Machine Learning Accelerator for K-Means at the Edge with Hardware-Software Co-Optimization

Abstract: Healthcare and wellness applications often require always-on, real-time processing under strict power and area constraints, particularly in wearable devices. Among various machine learning ...