What if you could train massive machine learning models in half the time without compromising performance? For researchers and developers tackling the ever-growing complexity of AI, this isn’t just a ...

Traditional cloud architectures are buckling under the weight of generative AI. To move from pilots to production, ...

AWS, Cisco, CoreWeave, Nutanix and more make the inference case as hyperscalers, neoclouds, open clouds, and storage go ...

RALEIGH, N.C. – Oct. 14, 2025 – Red Hat today announced Red Hat AI 3 as part of its enterprise AI platform. Bringing together the latest developments of Red Hat AI Inference Server, Red Hat Enterprise ...

Thinking Machines Lab, a heavily funded startup cofounded by prominent researchers from OpenAI, has revealed its first product—a tool called Tinker that automates the creation of custom frontier AI ...

In the fast-changing digital era, the need for intelligent, scalable and robust infrastructure has never been so pronounced. Artificial intelligence is predicted as the harbinger of change, providing ...

Here are six predictions for how AI capabilities will evolve in 2026.

China’s latest generation of open large language models has moved from catching up to actively challenging Western leaders on ...

The transition from experimental AI models to production systems exposes the true quality of training data. Edge cases that were absent during testing become frequent. Small inconsistencies in ...

EPFL researchers have developed new software—now spun-off into a start-up—that eliminates the need for data to be sent to third-party cloud services when AI is used to complete a task. This could ...