A not-so-surprising fact, according to HubSpot: 65 percent of consumers state that the experience they encounter on a website is a “very important” factor in recommending a brand.

When deep-learning models are deployed in the real world—perhaps to detect financial fraud from credit card activity or identify cancer in medical images—they are often able to outperform humans.

Ever since deep learning burst into the mainstream in 2012, the hype around AI research has often outpaced

I’m sure you’ve heard the buzz around the German apprenticeship system—but does it really live up to the hype?

As 2022 draws to a close, we ask NIST’s senior researchers to look ahead to the new year and beyond. They research topics that affect all of us, from indoor air quality to cybersecurity.

There’s a growing movement to increase competency and skills-based education and hiring practices in both the public and private sectors.

The manufacturing industry (largely) welcomed artificial intelligence with open arms. Less of the dull, dirty, and dangerous? Say no more.

Getting the most out of your older capital equipment is a priority for any manufacturer. Luckily, the technology needed to bring legacy equipment into the internet of things (IoT) is readily available.

Engineers at MIT have developed ultralight fabric solar cells that can quickly and easily turn any surface into a power source.

As the U.S. manufacturing sector barrels toward a renaissance, the path ahead comes with challenges that many manufacturers may not be prepared for. The industry—which employs 12 million people and accounts for 11 percent of the U.S.