The interest in state machines started in the 1950s when George Moore and Edward Mealy published seminal papers on formal methods of designing digital circuits, which generate outputs based on the ...

Knowing the differences between machine vision systems and embedded vision systems can provide better understanding of when each should be used Understanding the different definitions and uses of ...

When an online order reaches your doorstep, it’s imperative that the packaging holds up during shipping. That’s why CMD Corp. implements next-level automation technologies in the design and build of ...

Machine vision and embedded vision systems both fulfill important roles in industry, especially in process control and automation. The difference between the two lies primarily in image processing ...

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 ...

This article appeared in Electronic Design and has been published here with permission. Electronics and software going into medical devices has become increasingly more sophisticated. Platforms ...

Some software goes right from simulating into actual embedded control without missing a beat. As we covered last month, embedded motion control is operation-specific code targeted to microprocessors, ...

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 ...

A digital revolution is sweeping all areas of life, thereby making our activities more innovative and powerful. Embedded software plays a huge role in the rapid development of the internet of things ...

Ryzen Embedded 7000 Series processors deliver leadership performance and advanced features with a growing partner ecosystem including Advantech, ASRock and DFI NUREMBERG, Germany, Nov. 14, 2023 (GLOBE ...

How machine- and deep-learning technologies are growing rapidly, which brings about new challenges for developers who need to seek ways to optimize ML applications that run on tiny edge devices with ...