Overview: Interpretability tools make machine learning models more transparent by displaying how each feature influences ...

The IMF develops a machine-learning nowcasting framework to estimate quarterly non-oil GDP in GCC countries in real time, ...

AIQuant Labs has launched DexTrader.ai, a machine learning-powered investment platform designed to bring institutional-grade ...

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 ...

Digital twin (DT) technology is emerging as a core solution for future marine development and intelligent ocean management. The review systematically reviews digital twin applications in the marine ...

As data volumes accelerate, AI is becoming deeply embedded in safety operations and local qualified persons for PV are ...

The rise of the AI gig workforce has driven an important shift from commodity task execution to first-tier crowd contribution ...

A hybrid model combining LM, GA, and BP neural networks improves TCM's diagnostic accuracy for IPF, achieving 81.22% ...

Financial crime compliance in U.S. banking and financial institutions is at an inflection point. For decades, institutions ...

2026 is a pivotal juncture for cybersecurity. What was once considered an operational safety net and a business cost item is ...

3. Timeliness and currency: Outdated information undermines AI performance. In fast-changing fields, models that rely on ...