Embedded Computing Design

Conditioning monitoring and predictive maintenance are two techniques that can be figurative life savers for building managers and administrators. The terms also apply to the home, the smart home, that is, but let’s start with the description for smart buildings.

I have said for some time that there is a lot of confusion over what Industry 5.0 actually is. In this situation, I use the old “ask five people, get five different answers” axiom.

Machine learning (ML) is all about massive amounts of processing, DSP, etc., right? Maybe not, according to the team at Aspinity. The company continues to push ahead on the analog front. The latest member of the company’s analogML family, the AML100, operates completely in the analog domain. As a result, it can reduce always-on system power by 95% (for the record, we had to walk through this a couple of times before I believed them).

As we see the trend of edge computing rise across industries, one of the most important uses for it is in data centers. Incorporating edge computing enables more autonomously run data centers, and a low latency network is critical in environments that strive to maximize compute throughput and reduce server idle time. Timothy Vang, Vice President of Marketing and Applications at Semtech, answers some questions about the intricacies of edge computing and the important role it plays in the modern data center to meet the current bandwidth and speed demands.

Matt Johnson was appointed President and CEO of Silicon Labs earlier this year.

IoT databases are different from general databases. Really? That was a surprise to me.

Applications that require high-quality audio are fraught with issues.

Precise and accurate high-resolution imaging is a requirement in many applications, such as medical/healthcare. You certainly wouldn’t want your surgeon looking at a display that wasn’t as crisp and clear and as fast-reacting as possible.