If you ask 10 different manufacturers to identify their toughest problem, odds are at least five of them will say, “We can’t get parts through the shop floor fast enough.”

I am exploring what I think is a fundamental question in epistemology: What does it mean to say something is true? I want to approach this through the lens of cybernetic constructivism.

Quality leaders know that an audit rarely fails because a company lacks documentation. It fails because the information exists somewhere but can’t be retrieved, verified, or executed consistently when it matters.

You’ve probably heard that time is relative. It sounds like a banal cliche, akin to “time flies when you’re having fun.”

By now, ChatGPT, Claude, and other large language models (LLMs) have accumulated so much human knowledge that they’re far from simple answer generators; they can also express abstract concepts, such as certain tones, personalities, biases, and moods.

Picture this: It’s Monday morning. Coffee in hand. The schedule is full. Shipping is stacked. Your biggest jobs are lined up like dominos, ready to fall into place.

In response to the societal challenge of the growing electricity demand from AI data centers, Oak Ridge National Laboratory (ORNL) is launching the Next-Generation Data Centers Institute

Studying gene expression in a cancer patient’s cells can help clinical biologists understand the cancer’s origin and predict the success of different treatments.

As manufacturing emerges from a period of contraction, the industry faces more than just empty roles. The average tenure of a manufacturing worker has dropped, but the complexity of the machinery hasn’t.

From blood tests to mammograms, doctors need reliable measurements to make informed decisions about their patients’ health and deliver safe treatments.