Large language models (LLMs) such as GPT and Llama are driving exceptional innovations in AI, but research aimed at improving their explainability and reliability is constrained by massive resource ...

Traditional rule-based systems, once sufficient for detecting simple patterns of fraud, have been overwhelmed by the scale, ...

The strong role of socioeconomic factors underscores the limits of purely spatial or technical solutions. While predictive models can identify where risk concentrates, addressing why it does so ...

Banks will leverage Explainable AI (XAI) tools like SHAP and LIME to demystify complex models, making AI-driven decisions and ...

How AI, privacy-preserving computation, and explainable models quietly strengthen payments, protect data, and bridge traditional finance with crypto systems.

An area of great hope and promise for applied artificial intelligence (AI) deep learning is at the intersection of neuroscience and oncology, both challenging fields known for their inherent ...

Ed Gaudet is the CEO and Founder of Censinet, a healthcare risk management platform, and member of the Health Sector Coordinating Council. In June 2022, I called for boards to be accountable for ...

Recognized by leading independent research firm for addressing model bias and inaccuracy—key to enabling verifiable, user-controlled AI for the Office of the CFO LOS ANGELES, April 09, 2025 (GLOBE ...