This article examines the work of data scientist Sai Prashanth Pathi in AI for credit risk, focusing on explainable machine learning in regulated finance, governance alignment, fairness, compliance, ...

The financial landscape of 2026 is defined by a paradox: machine learning systems are now more powerful and autonomous than ever, yet they operate under the strictest regulatory scrutiny in history.

UB cancer researchers published a study on why young people vape, and used AI to determine the best ways to get them to stop.

Nationwide, young people ages 18–24 are the heaviest users of e-cigarettes, with 38.4% of youth reporting habitual use.

The financial sector is undergoing a rapid transformation in 2026, moving beyond the early days of AI experimentation to full-scale enterprise deployment. With the August 2nd deadline for the EU AI ...

As security teams face mounting pressure from talent shortages, alert fatigue, and rising threats, AI is emerging as a ...

Eggs and poultry provide important sources of protein globally, driving a major industry with large economic impacts.

Algo wheels promise smarter execution but many desks are still getting the fundamentals wrong. Discover the three common ...

To figure that out, they applied AI techniques, such as machine learning, to the question of why some strategies designed to ...