There are more candidates on the waitlist for a liver transplant than there are available organs, yet about half the time a ...

We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...

Driven by rising cyber threats, expanding data volumes, and rapid adoption of AI-powered real-time monitoring, the Anomaly Detection Market is witnessing strong growth, with cloud-based solutions ...

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

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

The Dow Jones Industrial Average (DJIA) found some room to move higher on Tuesday, despite a general malaise setting into ...

At its foundation, Earn Matrix Pro combines machine learning, data modeling, and real-time analytics to automate trade ...

The ever-changing status around AI, from an unsettled regulatory picture to a brisk pace of innovation, is keeping many ...

The hybrid model is emerging as the framework for trustworthy AI in test analytics. It retains traceability and supports ...

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

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.