Deep learning techniques such as convolutional neural networks (CNN) have significantly increased the accuracy—and therefore the adoption rate—of embedded vision for embedded systems. Starting with ...

Medical device companies, especially those with real-time embedded-system products, are often burdened with lengthy verification cycles. Even small development efforts can result in months of ...

Component-based software helps you get a system working quickly, keep costs down, and reuse the most robust software from prior applications. This article presents methods for creating your own ...

MPLAB ® Harmony Integrates Expanding Set of Middleware, Drivers, Libraries and RTOSs; Simplifies 32-bit MCU Code Development, Reduces Integration Bugs, Speeds Designs CHANDLER, Ariz.--(BUSINESS WIRE)- ...

This online engineering specialization will help you elevate your skills from a beginning practitioner to a more advanced real-time system analyst and designer. You will dive deeper into ...

Soujanya Annapareddy is a seasoned expert in embedded systems and automation, specializing in test automation, cross-platform integration, and firmware validation. She has contributed to the ...

Developers writing embedded Java applications have a stack of frameworks and other tools to choose from. Here are the best Java frameworks used for embedded development today. Java’s creators had a ...

One of the biggest bottlenecks in the software development process for electronic products is that hardware is not available until late in the cycle. That means embedded software developers need to ...