Edge AI is a form of artificial intelligence that in part runs on local hardware rather than in a central data center or on cloud servers. It’s part of the broader paradigm of edge computing, in which ...

A seismic shift in digital systems is underway — and most people are missing it. Related: Edge AI at the chip layer While ...

The AI shift to the edge promises faster insights and more resilient operations, but it also transforms the demands placed on ...

Edge AI is the physical nexus with the real world. It runs in real time, often on tight power and size budgets. Connectivity becomes increasingly important as we start to see more autonomous systems ...

The edge just may be where the action is, but the edge is double-edged: It could be a distributed corporate network, or it could be an application running within a small device. In an IDC survey, at ...

Edge AI comparison of Pi 5, Hailo 8, and Orin Nano shows 157 FPS at 13W on Orin, guiding teams on performance versus power tradeoffs.

In this distributed environment, connectivity becomes foundational—a layer of invisible fabric that ties everything together.

Meta’s latest release of the Llama 3.2 model marks a significant advancement in AI, particularly in edge computing and on-device AI. Llama 3.2 brings powerful generative AI capabilities to mobile ...

The diversity of connected devices and chips at the edge — the vaguely defined middle ground between the end point and the cloud — is significantly widening the potential attack surface and creating ...

Generative AI (GenAI) burst onto the scene and into the public’s imagination with the launch of ChatGPT in late 2022. Users were amazed at the natural language processing chatbot’s ability to turn a ...

Kimberlee Leonard has 22 years of experience as a freelance writer. Her work has been featured on US News and World Report, Business.com and Fit Small Business. She brings practical experience as a ...