This week, learn how a shrewd rebrand is helping us spotlight more screen stories, and how old and new technology is driving our work and research.

In an interview with Technology Networks, Dr. Daniel Reker discusses how machine learning is improving data-scarce areas of ...

Thread is a mesh networking protocol that connects low-power smart home gadgets, and it’s one of Matter’s underlying ...

AI became powerful because of interacting mechanisms: neural networks, backpropagation and reinforcement learning, attention, ...

By evaluating TTP coverage and stacking risk reductions across layers, organizations can decrease their odds of stopping ...

The contrast is jarring, if only because humanoid robots have become so much more capable and ubiquitous since Atlas got ...

It's branded as the world's first social network for AI bots. But just a week after its launch, the tech world is in fierce ...

Not all VPNs are created equal. Independent audits reveal which services are keeping your data safe—and which are just paying ...

Investigators are hoping digital clues may break open the investigation into Savannah Guthrie's missing mother Nancy Guthrie, who disappeared from her Arizona home.

Here’s what some of the biggest UC, collaboration and telecom leaders had to say about AI’s impact in 2026 in written responses to CRN’s 2026 CEO Outlook project.

Yiran Chen develops brain-inspired semiconductor hardware to enable faster, greener AI at the edge.

The growth and impact of artificial intelligence are limited by the power and energy that it takes to train machine learning models. So how are researchers working to improve computing efficiency to ...