Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?

A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted ...

As AI infrastructure spreads to local communities, the question may not be only about the multiplication of data centers ...

Stanford's DeLM lets AI agents coordinate without a central controller, cutting multi-agent inference costs 50% and beating ...

Timely reconstruction of epidemic dynamics is essential for public health, and structured coalescent models constitute an essential tool for this purpose. However, statistical and computational ...

Elon Musk's social network X (formerly known as Twitter) last night released some of the code and architecture of its overhauled social recommendation algorithm under a permissive, enterprise-friendly ...

Abstract: Generalization is the core objective when training optimizers from data. However, limited training instances often constrain the generalization capability of the trained optimizers.

The original version of this story appeared in Quanta Magazine. If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle ...

The change is part of a deal to bring TikTok under U.S. ownership to avert a looming ban. By Emmett Lindner and Lauren Hirsch The software giant Oracle will oversee the security of Americans’ data and ...

Abstract: Optimising energy consumption has become a priority objective for companies and organisations, especially in essential services such as drinking water supply. Traditional strategies of ...

NEW YORK, July 9 (Reuters) - TikTok is preparing to launch a standalone app for U.S. users that is expected to operate on a separate algorithm and data system from its global app, laying the ...