STMicroelectronics to boost AI at the edge with new MCU

Patrick Hopper

Publisher, President #Influencer @ OpenSystems Media | Embedded | AI | IoT | Military | Aerospace

Published Dec 23, 2024

Many of the highest-performance AI and ML applications are hard to access for companies that need lower cost-to-entry options or are in need of low-power options. Newer microcontrollers will need to make these AI tools available to these customers, too, in order to make AI truly ubiquitous.

On December 10, STMicroelectronics announced a new microcontroller series integrating, for the first time, accelerated machine learning (ML) capabilities. This new series is designed to bring high performance features like computer vision, audio processing, and algorithmic processing to the market for even cost-sensitive, power-conscious customers.

Embedded Software Engineering Trends

By Anthony Wall of ByteSnap Design

As devices become increasingly intelligent and interconnected, the demand for sophisticated embedded systems also continues to soar, with a natural knock-on effect across the embedded software industry as developers step up to embrace new technologies and methods.

This article delves into the top five trends shaping the future of embedded systems, including the rise of AI, advances in CI/CD, the growing popularity of Rust and the increasing adoption of Visual Studio Code and navigating the complex landscape of today’s device development. ByteSnap Design engineers have identified these as key trends in the future of embedded software development, and reshaping design, development and deployment. Read more.