NanoEdge AI Studio Version 3 is the first major upgrade of the software tool for machine-learning applications that ST acquired…
Unlike GPUs, which have established programming models and software toolchains, AI processors are confronted with lack in software support.
Renesas teaming up with MicroAI to train AI models directly on the MCU is an acknowledgement of the role of…
Since data flows throughout the entire AI workflow, initial data preparation step is crucial as it ensures the most useful…
Implementation of AIoT on MCUs will increase exponentially in new applications as MCUs push the boundary on performance and blur…
Two group reports have recently been released regarding analyzing the problem of securing AI and the corresponding mitigations.
A look at the growing trend for intelligent connected devices enabling the AI of Things (AIoT), the technologies and some…
Here is how AI can be used to quickly and effectively identify and eliminate complex packaging quality problems in production…
Neurone-like junctions made of mixed oxide-based materials could reduce the massive energy consumption of artificial intelligence operations.
To reach its full potential, AI at the edge will need to be self-adaptive. Enter tiny machine learning.