I was a strange kid. Who knows where our fears come from? What I do know is Godzilla is somewhere near the core of one of my weirder fascinations. When I was four, I watched Godzilla vs. King Kong on TV with my father. It made a mark.

Do you see the limitations and over-hyped expectations of today’s approach to artificial intelligence (AI)?

Whether you deal with hydraulic or pneumatic seals such as wiper seals, or other types of seals and O-rings on gearboxes and other mechanical equipment, seals must be a

Measurement error is ubiquitous. As a result, over the past 250 years, different areas of science and engineering have come up with many different ways to deal with the problem of measurement error. One approach to the problem of measurement error was developed durin

When you played cowboys and Indians as a kid, did you want to be the cowboy or the Indian? I wanted to be the Indian. All the ones I saw in comic books had super-cool moccasins and could move around with their bow and arrows without making a sound.

(Siemens: Plano, TX) -- Siemens Digital Industries Software announces the establishment of JEP181—a neutral file, XML-based standard from the JEDEC Solid State Technology Association, which is the global leader in standards development for the microelectronics industry.

When we talk about measurement system analysis (MSA), people tend to focus on attribute agreement analysis because it is usually quicker and easier to do than a gauge repeatability and reproducibility (gauge R&R) study.

We need instant adaptability to the new skill sets in the unknown future of work. The Covid-19 pandemic is a prime example of how change is accelerating and requiring us to adapt quickly.

(Hexagon Manufacturing Intelligence: North Kingstown, RI) -- Probe-based machine tool inspection has a well-deserved reputation for delivering clear productivity gains.

Measurement systems analysis (MSA) for attributes, or attribute agreement analysis, is a lot like eating broccoli or Brussels sprouts. We must often do things we don't like because they are necessary or good for us.