This article provides a walkthrough of the steps needed to quickly train an algorithm to detect diabetic retinopathy and prevent…
The new offering enables low-power voice-controlled operation of embedded vision AI systems in IoT and edge applications.
The implementation of AI techniques by the trusted control/compute unit (TCU) can greatly reduce the frequency and severity of attacks.
Two group reports have recently been released regarding analyzing the problem of securing AI and the corresponding mitigations.
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.