As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...

Even agents checking other agents can still get it wrong Agents may be the next big thing in AI, but they have limits beyond ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

The agent acquires a vocabulary of neuro-symbolic concepts for objects, relations, and actions, represented through a ...

New Aston team principal Adrian Newey says the AI tools fans talk about aren’t what F1 teams rely on ...

A new paper reveals how ‘the great AI job replacement’ may actually be a future where you become more, not less valuable in ...

Working on a car can be a fun, relaxing activity, but there are some vehicles that really strain that philosophy. Here are some of the worst.

The 'human-in-the-loop' approach manifests in three radically different ways, with profound implications for performance and skill development.

In recent years, the most popular innovation has been the rise of AI agents with integrated crypto wallets. let's find out ...

At the 3DEXPERIENCE World event, Manish Kumar, CEO of SOLIDWORKS and R&D executive at Dassault Systèmes, showed how we could ...

Opinion: By pairing traditional machine learning for quantitative data with generative AI for complex narrative datasets, the SEC can enhance its market oversight capabilities and better fulfill its ...

This phenomenon became known as Moore’s Law, after the businessman and scientist Gordon Moore. Moore’s Law summarised the ...