In research published in Nature Medicine today, AI biotech company Owkin has demonstrated for the first time that federated learning (FL) can be used to train deep learning models on data from ...

Enterprise AI adoption is rapidly moving from isolated pilots to production-scale, multi-agent systems, with governance, infrastructure, and cost management emerging as critical enablers. Industry ...

In an era where data breaches make headlines weekly and privacy regulations tighten globally, artificial intelligence faces a fundamental challenge: how to learn from data without compromising privacy ...

Researchers at Beihang University, in collaboration with the Beijing Zhongguancun Laboratory, have developed a new defense strategy called Long-Short Historical Gradient Federated Learning (LSH-FL), ...

The Great Power Competition is no longer confined to traditional warfare. It plays out in data, algorithms and artificial intelligence (AI). As adversaries weaponize misinformation and cyber attacks ...

The reliance on public data — mostly web data — to train AI is holding back the AI field. That’s according to Daniel Beutel, a tech entrepreneur and researcher at the University of Cambridge, who ...

Artificial intelligence (AI) is transforming the world, from diagnosing diseases in hospitals to catching fraud in banking systems. But it’s also raising urgent questions. As G7 leaders prepare to ...

AI’s rapid move from centralized data centers to distributed, real-time applications is fueling demand for federated edge infrastructure that combines low-latency processing with shared learning.

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The rapid evolution of the Internet of Things (IoT) and Artificial Intelligence of Things (AIoT) is fundamentally reshaping how real-world systems are ...