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.

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.

Nano Tools for Leaders—a collaboration betwee

Scientists at the National Institute of Standards and Technology (NIST) have created a new thermometer using atoms boosted to such high energy levels that they are 1,000 times larger than normal.

With a more efficient method for artificial pollination, farmers in the future could grow fruits and vegetables inside multilevel warehouses, boosting yields while mitigating some of agriculture’s harmful effects on the environment.

Idaho National Laboratory (INL) uses a software algorithm that Oak Ridge National Laboratory (ORNL) developed to check for flaws in additively manufactured components.

It creates a warm and inviting atmosphere. Its natural grain and color tones have a lively effect and add character to a room. We are talking about classic wood flooring—usually laminate, and optionally with a click system for easy installation.

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For many industrial processes, the typical way to separate gases, liquids, or ions is with heat, using slight differences in boiling points to purify mixtures. These thermal processes account for roughly 10% of the energy use in the United States.

In April 2018, the U.S. Food and Drug Administration (FDA) approved the first artificial intelligence-powered diagnostic system, a software program used to detect diabetes-related vision loss.