Accelerating Edge AI Development in Real-Time Control Apps (Download)

Log in to download the PDF of this article on how NPU-equipped MCUs help speed edge AI implementation into real-time control architecture.
April 23, 2026

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Much of the electronics world today obsesses over artificial intelligence (AI) in big system-on-chips (SoCs) and complex, multichip designs. But what may be overlooked are far-reaching applications that can be enabled inside smaller chips like microcontrollers, making both industrial devices and consumer devices more intelligent and more efficient.

The reason? Primarily response times, power consumption, performance, development complexity, memory footprint, and the cost to transform data into the real-time decisions required with AI capabilities. Fortunately, there are strong indicators that’s all changing.

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