From a governance perspective, the use of explainable AI is particularly significant. Infrastructure decisions involve public ...

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 ...

Michael O. Lawanson, a Nigerian data scientist at the University of Arkansas, United States, is at the forefront of global ...

Centers for Medicare & Medicaid Services (CMS) “Crushing Fraud Chili Cook-Off” Competition. This recognition highlights Milliman’s pioneering work in applying explainable artificial intelligence (AI) ...

Solution, is now a qualified solution on Mayo Clinic Platform, marking a major milestone in the company’s eight-year journey ...

Bernice Asantewaa Kyere on modeling that immediately caught my attention. The paper titled “A Critical Examination of Transformational Leadership in Implementing Flipped Classrooms for Mathematics ...

This article talks about how Large Language Models (LLMs) delve into their technical foundations, architectures, and uses in contemporary artificial intelligence.

Boreal restructures unstructured text into a verifiable knowledge graph, checks answers against source material, and records its reasoning for an auditable trail, pairing precision with an ...

Overview: As banks accelerate digital transformation, ‘Know Your Customer’ processes are rapidly evolving. Traditional, ...

In this week's "Five questions with" feature, meet Deepshikha Bhati, a Kent State University at Stark faculty member with a ...

A new synthesis of seismic research shows that artificial intelligence, when combined with physical principles, is rapidly ...

In addition to its vast array of companies on hand at CES this week, the Wallonia Export & Investment Agency — the official ...