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

Overview Machine learning offers efficiency at scale, but trust depends on understanding how decisions are madeAs machine ...

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 ...

Traditional water management approaches are increasingly unfit for modern pressures. Periodic manual measurements, delayed ...

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

By contrasting nematode infection with drought stress, the study highlights both the potential and limitations of remote sensing for separating ...

Banks and insurers must unify fragmented decisions to manage risk, regulation and customer expectations in real time.

Cognitive computing represents an innovative frontier within computer science, merging artificial intelligence, machine ...

As enterprises continue navigating the complexities of digital transformation, Rahul Jain's work reflects how thoughtful, ...

As digital ecosystems expand across industries, so does the threat surface they expose. For Dr. Karthik Kambhampati, a ...

The 2025 SANS SOC Survey shows AI use is rising, but many SOCs lack integration, customization, and clear validation ...