About UsFull Stack Edge AI Solutions from Microchip
New software tools and application solutions, provide a full-stack solution to incorporating AI into a wide range of products
A major next step for artificial intelligence (AI) and machine learning (ML) innovation is moving ML models from the cloud to the edge for real-time inferencing and decision-making applications in today’s industrial, automotive, data center and consumer Internet of Things (IoT) networks. Microchip has extended its edge AI offering with full-stack solutions that streamline development of production-ready applications using its microcontrollers (MCUs) and microprocessors (MPUs) – the devices that are located closest to the many sensors at the edge that gather sensor data, control motors, trigger alarms and actuators, and more.
Microchip’s products are long-time embedded-design workhorses, and the new solutions turn its MCUs and MPUs into complete platforms for bringing secure, efficient and scalable intelligence to the edge. The company has rapidly built and expanded its growing, full-stack portfolio of silicon, software and tools that solve edge AI performance, power consumption and security challenges while simplifying implementation.
“AI at the edge is no longer experimental—it’s expected, because of its many advantages over cloud implementations,” said Mark Reiten, corporate vice president of Microchip’s Edge AI business unit. “We created our Edge AI business unit to combine our MCUs, MPUs and FPGAs with optimized ML models plus model acceleration and robust development tools. Now, the addition of the first in our planned family of application solutions accelerates the design of secure and efficient intelligent systems that are ready to deploy in demanding markets.”
Microchip’s new full-stack application solutions for its MCUs and MPUs encompass pre-trained and deployable models as well as application code that can be modified, enhanced and applied to different environments. This can be done either through Microchip’s embedded software and ML development tools or those from Microchip partners.
Application for Edge AI Solutions include:
- Detection and classification of dangerous electrical arc faults using AI-based signal analysis
- Condition monitoring and equipment health assessment for predictive maintenance
- Facial recognition with liveness detection supporting secure, on-device identity verification
- Keyword spotting for consumer, industrial and automotive command-and-control interfaces
More information on Microchip’s Edge AI solutions can be found on the Microchip Web site at Microchip Edge AI solutions page.
Note: The Microchip name and the Microchip logo are registered trademarks of Microchip Technology Incorporated in the U.S.A and other countries. All other trademarks mentioned herein are the property of their respective companies.
The company’s Web site address is www.microchip.com
[Reprinted with kind permission from Microchip Corporation - Release Date, 10th February, 2026]
