Infineon’s new ModusToolbox ML helps TinyML and escorts AIoT

The combination of AI and IoT is called the “Artificial Intelligence Internet of Things” (AIoT). AIoT enables connected devices to have machine learning capabilities to perform complex intelligent operations. According to data from Markets and Markets, the AIoT market was worth US$5.1 billion in 2019 and is expected to grow to US$16.2 billion by 2024, reaching a compound annual growth rate (CAGR) of 26%. In the latest move to accelerate the development of differentiated AIoT products, Infineon Technologies AG (FSE: IFX / OTCQX: IFNNY) recently announced the launch of ModusToolbox ML (machine learning), giving Infineon’s PSoC microcontroller (MCU) depth The function of learning.

ModusToolbox ML is a brand-new function based ON ModusToolbox software, which can provide developers with middleware, software libraries and special tools required by ML models based on deep learning. ML can be seamlessly integrated with the existing software framework in ModusToolbox, and it can be easily integrated into a secure AIoT system. This rich tool suite can provide a streamlined machine learning model deployment workflow to help developers launch high-quality products to the market more efficiently and quickly.

ModusToolbox ML allows developers to use their preferred deep learning framework (such as TensorFlow) to deploy directly to PSoC MCUs. In addition, ML also helps engineers optimize the model of the embedded platform, reduce the complexity of the platform, and provide performance verification functions based on test data.

Steve Tateosian, Vice President of Infineon’s IoT Computing and Wireless Business, pointed out: “As the IoT market expands, the amount of edge data is also growing rapidly. AIoT powered by TinyML came into being, making these edge data available locally. Processing, protecting data privacy, reducing latency, and improving the overall reliability of the system. ModusToolbox bridges an important gap between machine learning and embedded system design. It provides flexible tools and module libraries that can support Infineon Super Easily optimize, verify and deploy deep learning models of commonly used software training frameworks on low-power microcontrollers.”

ModusToolbox ML can reduce the complexity of system developers developing AIoT applications and bring developers an unparalleled experience. These applications usually require seamless integration of machine learning workloads, as well as computing, connectivity, and cloud processing capabilities, and this is where ModusToolbox ML comes in.


Click here to download ModusToolbox.

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