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 ...

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 ...

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

The move to process artificial intelligence (AI) workloads locally is beginning to reshape how security systems are designed and deployed. For video surveillance and analytics, in particular, ...

As you prepare for an evening of relaxation at home, you might ask your smartphone to play your favorite song or tell your home assistant to dim the lights. These tasks feel simple because they’re ...

A slew of wireless and increasingly multi-modal sensors is being targeted at the Industrial Internet of Things (IIoT), setting the stage for significant improvements in efficiency, higher yield, and ...

While traditional artificial intelligence (AI) frameworks often struggle in ultra-low-power scenarios, two new edge AI runtime solutions aim to accelerate the deployment of sophisticated AI models in ...

Performance enhancement, cost reduction, data security, and improved energy efficiency are the end goals for optimizing AI workloads at the edge.

Imagine a hospital where a clinician can receive critical diagnostic insights in real-time, patient care isn't hindered by geography or resource limitations, and administration is so frictionless that ...

Microsoft's on a relentless quest to embed its Copilot AI into every software product it owns. That campaign takes another big step forward with the addition of some new generative AI features in the ...