Streamlined Development Platforms Are Now Critical to Edge AI Deployment

Streamlining development platforms has become a trend in the embedded industry, as the demand for deploying larger AI and machine-learning (ML) models at the edge increases development complexity, time, and, thereby, cost. The architectural diversity of embedded edge devices means that models must be converted, quantized or otherwise optimized, compiled for the target runtime, and [...] The post Streamlined Development Platforms Are Now Critical to Edge AI Deployment appeared first on Embedded.

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