AI’s predictive power is transformative, but its lack of explainability, contextual understanding, and causal reasoning ...

Here's a sharper definition of what AI SOC platforms can do today and what they cannot, and how to evaluate these platforms ...

CARE-ACE supports autonomy through bounded agentic reasoning, in which diagnostic, prognostic, planning, and risk-assessment ...

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

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

Explainable AI plays a central role in validating model behavior. Using established explainability techniques, the study examines which financial variables drive fraud predictions. The results show a ...

Nowadays, the performance of machine learning (ML) models in data-driven decision-making processes largely depends on the quality of the data and the selection of informative features. In ...

The neonatal oxycardiorespirogram (OCRG) captures synchronized, multi-channel recordings of respiratory patterns, heart rate variability, transcutaneous oxygen tension, and relative skin perfusion in ...

Abstract: Integrating AI models with the medical domain is challenging as it involves more complex workflows compared to traditional machine learning operations (MLOps). Requirements such as model ...

ABSTRACT: Machine learning (ML) has revolutionized risk management by enabling organizations to make data-driven decisions with higher accuracy and speed. However, as machine learning models grow more ...

Netflix has partnered with Lionsgate to produce a brand-new sci-fi action movie starring Alan Ritchson, who is becoming a highly sought-after action star. Filming concluded in late 2024 and is ...