When Efficiency Meets the Duty to Verify: Reflections on The Verification-Value Paradox

The Verification-Value Paradox states that increases in efficiency from AI use “will be met by a correspondingly greater ...

Key Data & Analytics Trends for CIOs and IT Leaders

Key data and analytics trends in 2026 include decision intelligence, real-time analytics, semantic layers, platform ...
Open Heart

Machine learning-based cardiovascular risk calculator for non-cardiac surgery

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
IEEE

Machine Learning-Driven Joint Structuring of WPT Coil and Core for Enhanced Mutual Inductance and Reduced Ferrite Volume

Abstract: Machine learning (ML) algorithms have shown promise in optimizing wireless power transfer (WPT) systems, particularly for electric vehicle charging and medical implants. However, most ...
IEEE

Fuzzy Machine Learning: A Comprehensive Framework and Systematic Review

Abstract: Machine learning draws its power from various disciplines, including computer science, cognitive science, and statistics. Although machine learning has achieved great advancements in both ...