Unlike the traditional engineering process of designing a part, product, or component from the ground up, many times in life we need to start with an existing item and work backward to solve a problem.

The quest to optimize equipment efficiency, ensure consistent quality, and lower operational costs while empowering a stronger workforce continues to permeate the industrial landscape.

Traditionally, quality management in the pharmaceutical industry has strayed away from artificial intelligence (AI) for fear of setting it loose with such sensitive information.

As we launch into Industry 4.0, the need for advanced automation and high-performance connectivity solutions intensifies, requiring protocols like Industrial Ethernet for maximum efficiency and productivity.

Just a few decades ago, today’s personal technology was a science fiction pipe dream.

From monitoring concentrations of greenh

Conventional silicon architecture has taken computer vision a long way. But Purdue University researchers are developing an alternative path—and taking a cue from nature—that they say is the foundation of an artificial retina.

Artificial intelligence (AI) has the potential to reshape the healthcare industry. There is a massive amount of healthcare data available for AI to process.

For professor Elsa Olivetti, tackling a problem as large and complex as climate change requires not only lab research but also understanding the systems of production that power the global economy.

As manufacturers transition toward Industry 4.0 to speed up production cycles and accelerate their time to market, they nevertheless continue to face many challenges, particularly with respect to automating quality control.