Integrating processors, sensors, and data exchange functionality into everyday objects, the Internet of Things (IoT) pushes computing capabilities far beyond desktops and servers, weaving computation ...

The automotive electronics industry continues to expand its use of 8-bit and 16-bit microcontrollers (MCUs). With the MCU being the cornerstone of electronic control modules (ECMs), from safety ...

Embedded TDD tests the logic that sits on top of your hardware and could reveal bad logic, with no hardware to muddy the ...

ECEN 5613 is a 3 credit hour course and is the first course in CU's Professional Certificate in Embedded Systems. It is one of the Embedded Systems Engineering program core courses and provides an ...

This course is used as the capstone in a three course sequence, including Linux System Programming and Introduction to Buildroot and Linux Kernel Programming and Introduction to Yocto Project. Both of ...

In the world of embedded systems, the language debate is alive and well. For years, C has dominated this space, its minimalistic design and low-level control giving embedded engineers the tools to ...

Python is popular, interpretive programming language that's used in a variety of areas from controlling robots to running websites to handling artificial-intelligence and machine-learning chores.

This tech article is about developing a basic security entry system, a project which I undertook as a student at the University of Cincinnati, while taking the class Embedded System Design. For the ...

AES is one of the most widely used cryptographic algorithms in embedded systems today. It protects industrial gateways, FPGA-based communication systems, automotive networks, VPNs, secure boot chains, ...

Microcontroller debuggers and associated tools are essential for developers working on embedded systems. They help developers find and fix bugs, test code and optimize performance. Advanced debugging ...

Machine learning is a subfield of artificial intelligence which gives computers an ability to learn from data in an iterative manner using different techniques. Our aim here being to learn and predict ...