TI(US:TXN) Prnewswire·2026-03-10 08:00Core Insights - Texas Instruments (TI) has introduced two new microcontroller (MCU) families, the MSPM0G5187 and AM13Ex, which integrate the TinyEngine neural processing unit (NPU) to enhance edge AI capabilities across various applications [1][2] - The TinyEngine NPU allows for significant improvements in efficiency, achieving up to 90 times lower latency and over 120 times lower energy utilization per AI inference compared to similar MCUs without an accelerator [1] - TI's CCStudio Edge AI Studio supports these MCUs, providing over 60 models and application examples to facilitate the deployment of edge AI in devices [2] Product Features - The MSPM0G5187 MCU is designed for simpler, smaller, and cost-effective applications, priced under US$1 in 1,000-unit quantities, making it an affordable alternative for embedded designers [1] - The AM13Ex MCUs integrate a high-performance Arm Cortex-M33 core and advanced real-time control architecture, enabling sophisticated motor control and AI features without the need for external components, reducing bill-of-materials costs by up to 30% [1] - Both MCU families support local computation, allowing the TinyEngine NPU to execute neural network computations in parallel with the primary CPU, enhancing overall performance [1] Development Ecosystem - TI's CCStudio Edge AI Studio provides a free development environment that simplifies the model selection, training, and deployment process for engineers, enhancing the accessibility of AI technologies [2] - The toolchain allows for flexibility in running AI models on TI MCUs through hardware or software implementations, catering to a wide range of applications [2] - TI's partner ecosystem is highlighted at embedded world 2026, showcasing how the company's technologies can accelerate development and deployment of AI solutions across various sectors [2]