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  "path": "/2026/03/11/texas-instruments-mspm0g5187-and-am13ex-mcus-integrate-tinyengine-npu-for-edge-ai-applications/",
  "publishedAt": "2026-03-11T04:34:17.000Z",
  "site": "https://www.cnx-software.com",
  "tags": [
    "FreeRTOS",
    "Hardware",
    "Zephyr OS",
    "cortex m0",
    "cortex-m33",
    "development board",
    "edge ai",
    "embedded world 2026",
    "freertos",
    "machine learning",
    "mcu",
    "motor control",
    "texas instruments",
    "tinyml",
    "zephyr",
    "Texas Instruments MSPM0G5187 and AM13Ex MCUs integrate TinyEngine NPU for Edge AI applications",
    "CNX Software - Embedded Systems News"
  ],
  "textContent": "Texas Instruments MSPM0G5187 and AM13Ex are two new microcontroller (MCU) families featuring the company’s TinyEngine neural processing unit (NPU) to enable low-latency, high-efficiency Edge AI/Machine Learning inference on the chips. TI claims that the TinyEngine NPU can run AI models with up to 90 times lower latency and more than 120 times lower energy utilization per inference than similar MCUs without an accelerator. The MSPM0G5187 is a general-purpose, low-power Arm Cortex-M0+ MCU, while the AM13Ex Arm Cortex-M33 microcontroller targets real-time motor control, starting with the AM13E23019 SKU. TI MSPM0G5187 general-purpose Cortex-M0+ MCU Key features and specifications: CPU – Arm Cortex-M0+ @ 80 MHz Memory – 32 KB RAM with ECC Storage – 128 KB flash with ECC, 8 KB data flash with ECC Accelerators TinyEngine NPU for AI/ML delivering up to 2.56GOPS (Giga Operations Per Second) at 80MHz MATHACL math accelerator Peripherals USB – 1x USB 2.0 (12 Mbps) Audio [...]\n\nThe post Texas Instruments MSPM0G5187 and AM13Ex MCUs integrate TinyEngine NPU for Edge AI applications appeared first on CNX Software - Embedded Systems News.",
  "title": "Texas Instruments MSPM0G5187 and AM13Ex MCUs integrate TinyEngine NPU for Edge AI applications"
}