Texas Instruments' new MSPM0G5187 microcontroller brings neural network processing to the edge with its integrated Tiny Engine NPU, delivering 10-30X faster AI inference (91ms down to just 6ms in our demo) while dramatically reducing power consumption. In this video, the Electronics Reporter Stuart Cording and Systems Engineer Andrew Liu demonstrates live handwritten digit recognition running entirely on the MCU and walks through the complete Edge AI development workflow - no AI expertise required to get started. Whether you're adding intelligent features to battery-powered devices or exploring edge AI for the first time, discover how this breakthrough makes local AI processing accessible to every embedded developer. Subscribe To "Texas Instruments" Channel: https://www.youtube.com/channel/UC-EXTfLnOmCKVRJrv8xoGrQ Learn more about Edge AI: https://www.ti.com/technologies/edge-ai.html Learn more about our Arm Cortex-M0+ MCUs: https://www.ti.com/product-category/microcontrollers-processors/mcus/arm-cortex-m0/overview.html Connect with Texas Instruments: Visit TI WEBSITE: https://www.ti.com/ Follow TI on FACEBOOK: https://www.facebook.com/texasinstruments Follow TI on X: https://twitter.com/txinstruments Follow TI on INSTAGRAM: https://www.instagram.com/txinstruments/ Follow TI on LINKEDIN: https://www.linkedin.com/company/texas-instruments/

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