Learning Development Suite Eases Embedded AI and ML Integration
Microchip Technology launched a complete, integrated workflow for streamlined ML model development with its new MPLAB Machine Learning Development Suite. Applicable across the company’s portfolio of microcontrollers (MCUs) and microprocessors (MPUs), it can add an ML inference quickly and efficiently. The integrated solution is presented as the first to support not just 32-bit MCUs and MPUs, but also 8- and 16-bit devices.
ML uses a set of algorithmic methods to curate patterns from large data sets to enable decision-making, which is typically faster, more easily updated, and more accurate than manual processing. The MPLAB Machine Learning Development Suite helps engineers build highly efficient, small-footprint ML 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 optimizations so that the memory constraints of MCUs and MPUs are respected.
When used in combination with the MPLAB X Integrated Development Environment (IDE), the new toolkit provides a complete solution that can be easily implemented by those with little to no ML programming knowledge, which can eliminate the cost of hiring data scientists. It also offers the option to bring a model from TensorFlow Lite and use it in any MPLAB Harmony v3 project, a fully integrated embedded software development framework that can simplify the development of value-added features and reduce a product’s time-to-market.
In addition, the VectorBlox Accelerator Software Development Kit (SDK) offers power-efficient convolutional neural network (CNN)-based artificial-intelligence/machine-learning (AI/ML) inference with PolarFire FPGAs.
Related lnks:
Microchip Technology
MPLAB X Integrated Development Environment
MPLAB Harmony v3
AI and ML Solutions