Microchip launches MPLAB® Machine Learning Development Kit to help developers easily integrate machine learning into MCUs and MPUs

【Lansheng Technology News】Microchip Technology Inc. recently launched a new MPLAB® machine learning development toolkit, providing a complete integrated workflow to simplify machine learning model development. Available across Microchip's broad portfolio of microcontrollers (MCUs) and microprocessors (MPUs), this software toolkit enables developers to quickly and efficiently add machine learning inference.

Rodger Richey, vice president of Microchip's Development Systems Business Unit, said: "Machine learning is the new normal for embedded controllers. Leveraging machine learning at the edge can make products more efficient, more secure, and less power-intensive than systems that rely on cloud communications for processing. Lower. Designed specifically for embedded engineers, Microchip’s unique integrated solutions are the first to support not only 32-bit MCUs and MPUs, but also 8-bit and 16-bit devices, enabling efficient product development.”

Machine learning works by using a set of algorithms to analyze and generate patterns from large data sets to support decision-making. Machine learning is generally faster, easier to update, and more accurate than human processing. Microchip customers can leverage this new set of tools to enable predictive maintenance solutions to accurately predict potential problems with equipment used in a variety of industrial, manufacturing, consumer and automotive applications.

MPLAB Machine Learning Development Kit helps engineers build efficient, small-footprint machine learning models. Powered by AutoML, the toolkit eliminates many repetitive, tedious, and time-consuming model building tasks, including extraction, training, validation, and testing. It also provides model optimization capabilities to meet the memory constraints of MCUs and MPUs.

When used in conjunction with the MPLAB X integrated development environment (IDE), the new toolkit provides a complete solution. It can be easily implemented by people with almost no knowledge of machine learning programming, saving the cost of hiring data scientists. It also has advanced features that meet the needs of experienced machine learning designers.

Microchip also offers the option to extract models from TensorFlow Lite and use them in any MPLAB Harmony v3 project. MPLAB Harmony v3 is a fully integrated embedded software development framework that provides flexible, interoperable software modules to simplify the development of value-added functions and shorten product time to market. Additionally, the VectorBlox™ Accelerator Software Development Kit (SDK) provides the most energy-efficient artificial intelligence/machine learning (AI/ML) inference capabilities based on convolutional neural networks (CNN) using PolarFire® FPGAs.

The MPLAB Machine Learning Development Kit provides the necessary tools to design and optimize edge products that run machine learning inference. Visit the Microchip Machine Learning Solutions page to learn more about streamlining your development process, reducing costs and accelerating time to market with Microchip’s intuitive machine learning tools.