Running ML algorithms needs a thorough study of underlying problems, in-depth understanding of the model and ability to run it on embedded systems We offer to develop embedded machine learning systems with experience in running them on Renesas, Xilinx, TI and Nvidia edge computing platforms
Perform pre-processing on data, annotate them using manual easy-to-use tools, train the models, validate them on offline/cloud or online models
Not all data are the same with each of them requiring different treatment. Our experts build one or tune existing models to meet the needs exactly
With continuous learning, our implementation can extract anomalies, perform re-training, and update models without affecting the real-time performance
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