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 ...

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 ...

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.

From asking questions to an AI assistant like ChatGPT or Microsoft Copilot to monitoring a daily fitness routine with a smartwatch, many people use an AI system or tool every day. While AI tools and ...

Over the past decade, the world of investing has been infiltrated by algorithms, machine learning engines and robo-advisors. In 2025, these tools are no longer niche curiosities and have become ...

As we’ve said, privacy compliance has long since evolved beyond check-the-box expectations. Today, organizations can no ...