Machine learning at the edge: A hardware and software ecosystem. Featuring Alif Semiconductors Sr. Marketing Manager Henrik Flodell, Arm Director of Ecosystem and Developer Relations Machine Learning Philip Lewer, Neuton CTO Blair Newman
Orchestrate all the Things
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Neuton's Architecture for Edge Applications
This chapter discusses the specific features of Neuton's architecture that make it suitable for edge applications with low power consumption. It emphasizes the importance of battery consumption, compactness, fast inference time, and accurate model implementation. Additionally, it highlights the lifecycle management tools they offer for understanding data, identifying model degradation, and automating the ML process.
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