Often, however, system architects and domain experts don’t know what target embedded software will ultimately run on. Tung explains that a system engineer working in Matlab might describe an algorithm ...

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 ...

Where code meets reality, embedded systems come at that intersection, demanding precision, efficiency, and careful planning.

In several of my previous posts, we’ve been looking at embedded software testing using Cpputest and build environments using Docker. Each topic is a building block ...

Discover the essentials of embedded software and how hardware engineers can efficiently handle software responsibilities.

Makefiles are a fundamental tool that every embedded software developer needs to understand. Even if you use an Eclipse-based IDE, behind the scenes, a makefile is generated to build your objects ...

Every good hardware or software design starts with a structured approach throughout the design cycle, but as chip architectures and applications begin focusing on specific domains and include some ...

Software development is inherently difficult, expensive and error prone. Additional constraints are imposed when developing software for embedded systems, such as ...

The world today is buzzing with the potential that AI models like ChatGPT have to offer. The potential for AI to revolutionize how people work and play is staggering and, to some, a little scary. To ...

Transmeta on Tuesday released a software development tool for its Crusoe processor and for developing embedded mobile devices that use Microsoft Windows CE .Net and Windows XP Embedded operating ...