A founding father of tinyML co-founded Useful Sensors to help appliance manufacturers add AI capabilities to everyday objects with AI-enabled…
The partnership expands Infineon's ModusToolbox software ecosystem to Edge Impulse's studio environment, allowing for easy configuration of the PSoC 6…
In the latest round of MLPerf AI inference benchmarking scores, Nvidia showed up to 4.5x performance of A100 for its…
SiMa.ai has delivered a software-centric MLSoC Platform that enables quick and Effortless ML experiences for the embedded edge.
As TinyML adoption continues to grow, it's important to be aware of various attacks that can negatively impact your TinyML…
STMicroelectronics' NanoEdge AI Studio machine-learning design software now supports smart sensors that contain ST's embedded ISPU.
Renesas is enhancing its endpoint AI capability with the acquisition of Reality AI.
Here's a look at the benefits of machine learning inference at the edge, and what designers need to know regarding…
The collaboration will leverage high-performance Quadric GPNPU architecture to deliver on-device AI solutions.
Deploying machine learning is a multi-step process. This article discusses the steps and breaks them down for a better understanding…
Nvidia once again faced down Qualcomm in the data center and edge divisions of MLPerf.
BrainChip and SiFive have combined their respective technologies to offer chip designers optimized AI/ML compute at the edge.