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 ...

Giulia Livieri sets out remarkable new research with results that clarify how learning works on complex graphs and how quickly any method (including Graph Convolutional Networks) can learn from them, ...

Quiq reports on the role of automation in customer service, highlighting tools like AI for questions, ticket classification, ...

Efrain Ruh is the Chief Technology Officer for EMEA at Digitate, where he leads regional technology strategy with a strong focus on enterprise AI, automation, and large scale operational ...

QA teams now use machine learning to analyze past test data and code changes to predict which tests will fail before they run. The technology examines patterns from previous test runs, code commits, ...

Read more about Artificial intelligence could change future of antimicrobial drug discovery: Here's why on Devdiscourse ...

In some ways, data and its quality can seem strange to people used to assessing the quality of software. There’s often no observable behaviour to check and little in the way of structure to help you ...

Airrived, the company behind the Agentic OS, today announced it has been named a Tech Innovator in Agentic AI in the Gartner "Emerging Tech: Tech Innovators in Agentic AI" report (16 September 2025).

Cybersecurity organizations are facing a widening gap between the speed of modern cyberattacks and the tools designed to prevent them. A new academic review finds that artificial intelligence (AI) is ...

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...