Knowing how to prepare for the certification process is essential. Credit: NSF
In a competitive manufacturing industry, meeting high standards is crucial to quality, sustainability, and safety.
Photo by American Public Power Association on Unsplash
The clock is ticking. Our planet is heating up, and with every passing day the stakes rise. Wildfires, floods, and storms are no longer distant headlines; they’re unfolding right on our doorstep. Humanity stands at a crucial turning point.
Knowing what type of maintenance to do for what equipment is essential. Photo by Luke Besley on Unsplash
Construction is an asset-intensive industry. Companies depend on building equipment, power tools, construction vehicles, and all heavy machinery for essential functions like excavation, construction, and demolition.
Photo by Homa Appliances on Unsplash
Data breaches and cyberattacks are things that small to medium-size manufacturers think won’t happen to them. Yet, according to the Verizon 2023 Data Breach Investigations Report, 43% of all cyberattacks are conducted against small businesses.
One of NIST’s ytterbium lattice atomic clocks: NIST physicists combined two of these experimental clocks to make the world’s most stable single atomic clock. The image is a stacked composite of about 10 photos in which an index card was positioned in front of the lasers to reveal the laser beam paths. Credit: N. Phillips/NIST
Time: We all have a sense of it, an innate feel for it. We see it and use it every day.
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While clinical trials are the gold standard for generating clinical data to use as evidence of your medical device’s safety and effectiveness, they are by no means the only way to gather clinical evidence.
In the highly regulated world of life sciences, data integrity isn’t optional; it’s essential.
With enough of the right kind of data you can teach new robots new tricks. Photo by Possessed Photography on Unsplash
In the 1960s cartoon series The Jetsons, Rosie the robotic maid seamlessly switches from vacuuming the house to cooking dinner to taking out the trash. But in real life, training a general-purpose robot remains a major challenge.
With SymGen, an LLM generates responses with citations that point directly to the place in a source document, such as a given cell in a database. Credit: MIT News; iStock
Despite their impressive capabilities, large language models (LLMs) are far from perfect. These artificial intelligence models sometimes “hallucinate” by generating incorrect or unsupported information in response to a query.
Like any other harvest, your work and management performance should be analyzed when you react to a good year. Photo by Erik-Jan Leusink on Unsplash
Recently, while driving through North Dakota on a crisp fall evening, I found myself surrounded by the sights and sounds of harvest. Combines and trucks moved through golden cornfields, reaping the season’s bounty.