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 ...

Embedded system developers have a wide range of operating systems available to them today. Of course, the most straightforward operating system is to have no operating system! However, many systems ...

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 ...

When I first started writing embedded software, the environments that I found to be the most efficient and easiest to use were only available on Microsoft Windows. In fact, it wasn’t uncommon for ...

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 ...

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

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.

Prepare for Safety-Critical Embedded Systems at MTU. When software lives inside machines, failure isn’t an inconvenience—it’s a safety, reliability, and security risk. From vehicles and aircraft to ...

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, ...

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 ...