For decades, the data center was a centralized place. As AI shifts to an everyday tool, that model is changing. We are moving ...

PHIL AI is pursuing an open ecosystem strategy by collaborating with infrastructure and application partners to support end-to-end AI workflows. Through integrations with decentralized compute ...

Scale Computing, the leader in edge computing and network solutions, today announced its participation in Conexxus, the annual conference dedicated to technology standards, data security, and ...

Mobile CrowdSensing (MCS) has become a powerful sensing paradigm for information collection recently. As sensing becomes more ...

Analysis of ten technologies across connectivity, compute, security, and sustainability, with implementation timelines ...

Taiwanese telco plans to increase investment $4bn Taiwan new dollars with focus on AIChunghwa plans to build distributed AI ...

Explore how robotics technology trends and automation robotics are transforming manufacturing, healthcare, and logistics with ...

Mobile CrowdSensing (MCS) has become a powerful sensing paradigm for information collection recently. As sensing becomes more complicated, it is ...

Implementation uses role-based persona mapping to reconfigure interface views based on user intent and task context ...

Virtualization helps overcome the limitations of traditional test systems. By consolidating multiple PCs into a single ...

Over the next year, AI's success won't depend on bigger or better models, but on the networks that support them.

In most software interviews a decade ago, success hinged on how quickly a candidate could write code on a whiteboard. Today, ...