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For a robot, the real world is a lot to take in. Making sense of every data point in a scene can take a huge amount of computational effort and time. Using that information to then decide how to best help a human is an even thornier exercise.

In a professional kitchen, no chef prepares a steak, a cake, and a casserole simultaneously with all the ingredients scattered across the counter. There’s a method: one recipe at a time, with only the ingredients needed for that specific dish.

A few months ago I visited a potential customer, a high-tech startup, which like many Boston-area tech companies is developing astounding products that would have been considered science fiction only 10 years ago.

As a technology leader, I must admit that making the right investment in new innovations has its challenges. It’s easy to get caught up in the grandiose potential solutions offer, become overwhelmed by the setup, and struggle with employee adoption.

Every day, quality leaders face a variety of production and process issues. Although some problems are easy to fix, others require deeper investigation, such as using a 5 Whys analysis or fishbone diagram.

The Chinese character for crisis means “danger” and “opportunity,” and tariffs have created a supply chain crisis throughout the United States.

In a physics first, a team including scientists from the National Institute of Standards and Technology (NIST) has created a way to make beams of neutrons travel in curves.

When we step into a complex organization—whether in manufacturing, healthcare, or finance—we often find ourselves navigating a sea of competing truths. Everyone seems certain they see the problem clearly. Yet somehow, solving it feels harder than it should.

In the casting industry, efficiency is key to producing high-quality parts while minimizing rework. Comprehensive data play a vital role in optimizing each manufacturing step.