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Embedded AI cellular modules account for 6% of total cellular IoT module shipments in 2023, and will grow at a CAGR of 35% by 2030. Cellular modules have evolved from simple communication baseband components to AI SoCs that integrate CPU, GPU, and NPU, enhancing their functionality and performance.

Embedded systems (e.g., microprocessors in home appliances, industrial equipment, automobiles, etc.) need to accommodate limited computing power and memory availability under cost and power constraints. This makes it challenging to deploy high-precision and high-performance language models on edge devices.

MK22FN512VFX12 is a high-performance microcontroller in the Kinetis K22 series launched by NXP Semiconductors. It has powerful processing power, rich peripheral resources and excellent low power consumption. How is it different from MK22FN512VFX12R?

This article aims to provide developers with a comprehensive introduction and application guide for the STM32F103C8T6. If you are looking for a high-performance, low-power microcontroller, the STM32F103C8T6 is undoubtedly your top choice.