Nuvoton, a leader in semiconductor solutions, has announced the launch of its groundbreaking Endpoint AI Platform designed to accelerate the development of fully-featured microcontroller (MCU) AI products. The platform leverages Nuvoton’s state-of-the-art MCU and MPU silicon, including the NuMicro M55M1 with Ethos U55 NPU, NuMicro MA35D1, and NuMicro M467 series.
These advanced single-chip-based platforms offer a wide range of applications, making them ideal for smart home appliances and security, smart city services, industry, agriculture, entertainment, environmental protection, education, voice control tasks, and sports, health, and fitness.
The NuMicro M55M1 series microcontroller, equipped with the Ethos-U55 NPU (Neural Processing Unit), is tailored for machine learning applications. With its on-device AI capabilities, this MCU can monitor events from image sensors, microphones, and sensors, even while operating in low-power mode. Additionally, the M55M1 MCU features an ML model protection mechanism that enhances security by safeguarding ML intellectual property against potential hacking attempts.
Nuvoton’s MA35D1 series offers a heterogeneous multi-core microprocessor with a dual-core 64-bit Arm Cortex-A35 core and a 180 MHz Arm Cortex-M4. These high-performance cores enable Tiny AI/ML edge computing for Edge IIoT Gateway applications.
The M467 series, a 32-bit microcontroller based on the Arm Cortex-M4F core, provides excellent IoT connectivity and versatility. With a broad range of built-in connectivity, I/O, and security peripherals, this microcontroller is suitable for smart home appliances, IoT gateways, industrial control, telecommunications, and data centers. The M467 also supports HyperRAM, offering power-saving and flexible memory expansion options for AI/ML applications.
To support the development of these platforms, Nuvoton provides fully-featured development boards and a user-friendly development environment. The company’s NuEdgeWise IDE (Integrated Development Environment) is a powerful tool specifically designed for TinyML development, supporting labeling, training, validation, and testing stages. With NuEdgeWise, developers can easily train and deploy models on Nuvoton chips using TensorFlow Lite, simplifying the implementation of TinyML applications.
Nuvoton is committed to providing comprehensive support, deep development tools, and enthusiastic assistance for its customers. The company’s website offers valuable information and application resources for Nuvoton machine learning solutions.
In conclusion, Nuvoton’s new Endpoint AI Platform sets a new standard in microcontroller development, enabling the creation of fully-featured AI products across various industries. With its powerful hardware and user-friendly development tools, Nuvoton continues to strengthen its position as a leading provider of microcontroller platforms.
The source of the article is from the blog zaman.co.at