AI in Embedded Systems: How AI is Changing Hardware?

Machine learning is no longer confined to the cloud. Advances in model compression, quantisation, and dedicated neural processing hardware have made it practical to run inference on microcontrollers with 256KB of flash. This is reshaping what embedded systems can do — and how they are designed. From Cloud to Edge: The Shift in AI Architecture…

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