Explainable AI was particularly valuable in validating the predictions. The Grad-CAM and Class Activation Mapping methods ...

As organizations increasingly rely on digital infrastructure to manage sensitive information, understanding how DSPM integrates with broader risk management and compliance strategies becomes essential ...

AI is transforming economic analysis, from natural language processing of central bank headlines to satellite imagery outperforming official statistics. This analysis is looking at how AI is enhancing ...

Scientists have assembled the largest collection of dream data ever created, pooling more than 2,600 sleep recordings from ...

Introduction By 2050, antimicrobial resistance (AMR) could lead to over 10 million deaths annually and $100 trillion in ...

Abstract: Assessing classification confidence is essential for effectively leveraging Large Language Models (LLMs) in automated data labeling, particularly within the sensitive contexts of ...

aInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA bDepartment of Health Metrics Sciences, University of Washington, Seattle, WA, USA ...

Extends industry-first AI Mesh Data Classification to structured data, unifying risk visibility and adaptive enforcement across modern enterprise and distributed data environments Showcases these ...

Abstract: This study addresses the classification of migraine headaches using advanced machine learning techniques, specifically ensemble models and boosting methods. We employed data augmentation to ...