This paper introduces a novel AI-enhanced retirement planning platform that integrates behavioral economics principles with advanced machine learning techniques to optimize financial decision-making.

Wearables, Mobile Health (m-Health), Real-Time Monitoring Share and Cite: Alqarni, A. (2025) Analysis of Decision Support ...

Yoshua Bengio talks about his efforts to identify — and address — the risks posed by AI.

IOP Publishing’s Machine Learning series is the world’s first open-access journal series dedicated to the application and ...

Most companies fail to realize that true advantage with AI and other transformative technologies comes not from mere adoption ...

Background Adverse childhood experiences (ACEs) are linked to poor health and social outcomes, with growing interest in their ...

We don’t just need AI regulation—we need AI morals. Every technology carries a philosophy, whether we care to admit it or not ...

The researchers discovered that this separation proves remarkably clean. In a preprint paper released in late October, they ...

Prevailing AI architectures are not moving the needle. We need new ideas. Google Research proposes NL (nested learning). Here ...