Cash is king for manufacturers, from the owner down to the machine operators. If you visit any manufacturer, you’ll see that most have a keen eye on how everything is being used.

When first responders need to rescue people from an earthquake-ravaged home, they need real-time information. If law enforcement officers are looking for a shooter in a crowded building, they must learn everything they can about the scene. 

If you’ve heard or read about quantum mechanics, you may have seen it described as “weird.” Even the great Albert Einstein—one of the founders of quantum mechanics—called certain aspects of the theory “spooky.”

You open your email and your stress level spikes: It’s another request titled “Can I work from home tomorrow?” It’s one of several you received in the last month—a relentless march of requests for

Since the early 1980s, the automotive industry has used hydraulically actuated (servo-hydraulic) test systems to simulate operating speeds and road conditions for testing OEM components and fully assembled vehicles.

Artificial intelligence (AI) is gaining momentum across a vast array of fields. Nearly everyone has tried or actively uses a form of AI, whether for personal or professional purposes.

You are the only one who can protect your time and your interests. You have to establish the “line” you’re not willing to cross or allow others to cross.

Every time you squeeze toothpaste onto your toothbrush, spray perfume on your skin, or swallow a pill, you’re using the result of a carefully crafted recipe made in a lab. These are called formulations.

In last month’s article, “ANOVA and the Process Behavior Chart,” we saw how both techniques use the same basic comparison to answer completely d

Understanding the inner workings of your industrial artificial intelligence (IAI) system is crucial if you want it to add measurable value to your manufacturing operations. Here, we’ll dig into one important aspect of every AI: the inputs, aka your data.