Responsible AI involves designing machine learning systems that are transparent, fair, and accountable. In the context of healthcare, responsible AI also includes protecting patient privacy, ensuring ...

In the past, brands fought for visibility on supermarket shelves. The brands positioned at eye level sold the most, while ...

BSI studies uncover significant security flaws in practice, hospital, and nursing software. Patient data is inadequately ...

Nvidia's KV Cache Transform Coding (KVTC) compresses LLM key-value cache by 20x without model changes, cutting GPU memory costs and time-to-first-token by up to 8x for multi-turn AI applications.

The hyper-connected nation of 212 million people joins several other countries seeking to protect children from addictive ...

Rachael Hinkle’s work with machine learning intersects political science, legal training and computational methods.

The biological passport doesn’t catch cheaters red-handed but can still end careers. Here's how the controversial tool works ...

The fundamental essence of trade remains constant, yet the methods of execution are undergoing a radical AI-driven transformation. Today, cross-border B2B commerce is evolving beyond the mere movement ...

Practical ways to use AI to streamline time-consuming SEO tasks, improve efficiency, and reduce costs, while keeping human ...

At QCon London 2026, Lan Chu, AI Tech Lead at Rabobank, shared lessons from deploying a production AI search system used ...