Infineon’s New ModusToolbox Machine Learning Enables TinyML for Secure AIoT

By Tiera Oliver

Associate Editor

Embedded Computing Design

May 19, 2021


Infineon’s New ModusToolbox Machine Learning Enables TinyML for Secure AIoT

Infineon Technologies announced the release of ModusToolbox Machine Learning (ML).

ModusToolbox ML enables deep learning-based workloads on Infineon’s PSoC microcontrollers (MCUs).

ModusToolbox ML is a new feature in ModusToolbox Software and Tools that provides middleware, software libraries, and special tools for designers to evaluate and deploy deep learning-based ML models. This feature allows seamless integration with existing frameworks available in ModusToolbox so that ML workloads can be integrated into secured AIoT systems. The toolset provides a streamlined machine learning model deployment workflow that allows developers to be more efficient and deliver quality products to market.

ModusToolbox ML allows developers to use their preferred deep learning framework, such as TensorFlow, to be deployed directly to PSoC MCUs. In addition, the feature helps designers optimize the model for embedded platforms to reduce size and complexity, as well as validate performance against test data.

Per the company, ModusToolbox ML delivers an ideal developer experience that reduces the complexities system developers face when developing AIoT applications. These applications typically require a seamless Machine Learning workload integration, along with compute, connectivity, and cloud domains that ModusToolbox ML can address.

ModusToolbox is available for download here.

For more information, visit:

Tiera Oliver, Associate Editor for Embedded Computing Design, is responsible for web content edits, product news, and constructing stories. She also assists with newsletter updates as well as contributing and editing content for ECD podcasts and the ECD YouTube channel. Before working at ECD, Tiera graduated from Northern Arizona University where she received her B.S. in journalism and political science and worked as a news reporter for the university’s student led newspaper, The Lumberjack.

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