A multi-tier approach to machine learning at the edge can help streamline both development and deployment for the AIoT.
High-resolution displays and complex AI datasets in IoT endpoints and wearable designs increasingly demand additional memory content.
The Kria K26 adaptive system-on-module (SOM) from Xilinx is a production-ready embedded board for rapid deployment of edge-based applications.
Here is how AI can be used to quickly and effectively identify and eliminate complex packaging quality problems in production…
The design of CMOS image sensors is going through an accelerated phase of development to serve a variety of applications.
AIoT seems to be here to stay, and the next development step—as with processing—will be to evolve specialized devices for…
Featuring Renesas Electronics' exclusive AI accelerator DRP-AI, the new RZ/V2L MPUs make embedded AI easier and more power efficient.
Neurone-like junctions made of mixed oxide-based materials could reduce the massive energy consumption of artificial intelligence operations.