James Georgalakis and Knowledge Manager, Alan Stanley share the shifts in theory and practice they have witnessed and consider the future of knowledge for development in the age of AI.

Machine learning models are usually complimented for their intelligence. However, their success mostly hinges on one fundamental aspect: data labeling for machine learning. A model has to get familiar ...

Conflict forecasting, using AI and vast amounts of data, is evolving fast. The Middle East's authoritarian regimes could well ...

Princeton has firmly established its presence at the forefront of AI research — including transformative work in humanities scholarship.

As IoT and AI ecosystems mature, enterprises are rejecting vendor lock-in in favor of interoperability. Here's what leaders need to know.

IBS Intelligence (IBSi) is the world’s only pure-play Financial Technology focused research, advisory, and fintech news analysis firm, with a 30-year track record and clients globally. We take pride ...

Does cloud-free AI have the cutting-edge over data processing and storage on centralised, remote servers by providers like ...

Another theory held that the forces between two particles falls off exponentially in direct relationship to the distance between two particles and that the factor by which it drops is not dependent on ...

A machine-learning loop searched 14 million battery cathode compositions and found fivefold performance gains across four metrics using fewer than 200 experiments.

By now, ChatGPT, Claude, and other large language models have accumulated so much human knowledge that they're far from simple answer-generators; they can also express abstract concepts, such as ...

Emma Beavin's reporting for this story was supported by a National Ins | The Coalition for Health AI promised the healthcare industry a way to responsibly oversee AI through a nationwide network of AI ...