National Grid ’s digital twin and data visualisation project was a necessity created to transform how it models demand and plans the electricity network of the future.

IT and networking giant collaborates with scalable quantum networks firm for what is said to be a successful demonstration of quantum networking connecting a datacentre to two research facilities in ...

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 ...

There’s no doubt that AI can deliver a plethora of benefits, but if you quickly and broadly deploy any technology regardless of context, it’ll likely result in slop.

Explore how AI learning parallels physics laws, revealing insights into neural networks and their performance mechanisms.

Researchers generated images from noise, using orders of magnitude less energy than current generative AI models require.

Explore how core mathematical concepts like linear algebra, probability, and optimization drive AI, revealing its ...

In an increasingly interconnected world, understanding the behavior and structure of complex networks has become essential across disciplines. These ...

Anthropic, maker of the chatbot Claude, declined to comment on the meeting but CEO Dario Amodei has made clear his ethical concerns about unchecked government use of AI, including the dangers of fully ...

The concept of network topology aims to describe the interconnectedness of different brain areas more precisely. This is of great relevance in physiology as ...

These are the best high-paying jobs for introverts.