CIO

Why AI initiatives fail: The costly mistakes IT leaders make and how you can avoid them

IT leaders reveal their costliest AI mistakes, from hype-driven deployments to poor data foundations — and share hard-earned ...
National Academies

Making Machine Learning Safer in High-Stakes Settings

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, ...
Frontiers

Trustworthy and Explainable Machine Learning for Human-Aligned Robotics and Intelligent Systems

With the rapid advancement of robotics, intelligent sensing, and autonomous decision-making, robotic and AI systems are increasingly influencing human life ...
IEEE

Unsupervised Anomaly Detection by Learning Elastic Transformations Within an Autoencoder Approach

Abstract: Machine learning has approached magnetic resonance image (MRI) analysis using multiple techniques, including deep supervised learning methodologies, where lesions such as tumors or features ...