All Features
Aimee Levitt
The premise of AI large language models (LLMs) is that any problem can be solved by vacuuming up as much information as possible, running it through probability models, and performing complex calculations to make predictions and come up with the optimal solution.
Another premise behind LLMs is…
Adam Zewe
The deployment of automated software systems called AI agents has recently exploded. A November 2025 report by MIT Sloan School of Management and Boston Consulting Group found that 35% of surveyed businesses had already deployed AI agents, while another 44% planned to implement agentic AI soon.
To…
NIST
Whether you’re a researcher stumped by a mystery compound or a manufacturer perplexed by an unknown substance, there’s a major resource you can rely on: a library of chemical fingerprints, known as mass spectra, that the National Institute of Standards and Technology (NIST) has maintained for…
Rick Young
Manufacturers are exploring artificial intelligence, but most are still struggling to scale it across operations. According to the latest Sikich Manufacturing Industry Pulse survey, 92% of manufacturers are actively exploring AI. Yet roughly three-quarters of respondents remain in research or pilot…
Cornelia C. Walther
Every boardroom has heard it. Every procurement checklist includes it. Every investor deck now features it somewhere between the mission statement and the revenue model. “AI ethics” has become the term that signals seriousness without necessarily delivering it. That gap deserves examination—because…
Irina Shimko
Two years ago, the dominant conversation around AI in enterprise software was about pilots. Every company of a certain size had at least one: a proof of concept running in a sandbox, a chatbot layered over a knowledge base, or a model fine-tuned on proprietary data that never quite made it to…
Oak Ridge National Laboratory
Researchers at the U.S. Department of Energy’s (DOE) Oak Ridge National Laboratory (ORNL) have created a new tool that can catch and correct potential mistakes in real time while 3D-printing large plastic parts.
The automated system could help U.S. manufacturers produce large, custom parts with…
Paul Hanaphy
Artec 3D is best known for professional 3D scanners. So it may come as a surprise that the company also offers a low-cost, accessible solution: AI photogrammetry.
Available via an Artec Studio Lite subscription or the full version of Artec’s flagship software, Artec Studio Pro, this feature is a…
Mike DeCapua
Hydroelectric generators are used to generate power in many parts of the United States. One of their interesting details is that despite how massive they are—a typical 5–20 MW generator can measure 8–12 ft in diameter and weigh about 50 tons—they are built to extremely demanding tolerances.
My…
Adam Zewe
In the aftermath of a devastating earthquake, unpiloted aerial vehicles (UAVs) could fly through a collapsed building to map the scene, giving rescuers information they need to quickly reach survivors.
But this remains an extremely challenging problem for an autonomous robot, which would need to…
Quality Digest
(Massimo Group: Garland, TX) -- Massimo Group, a U.S.-based power sports and utility vehicle company, announced the formal launch of its AI intelligent patrol platform initiative, marking the company’s strategic expansion into AI-powered security infrastructure, autonomous patrol systems, and…
Pramin Pradeep
Here’s a scenario that should make any quality leader in pharma or medical devices uncomfortable: A software team building a diagnostic support tool uses an AI coding assistant to generate a data-processing module. The module looks correct, passes validation testing, and ships. Eighteen months…
Kathryn Keenan
At some point during my teenage years, I became aware that when I grew up, I’d have to get a mammogram, and it was clear that it would hurt.
If you’re a woman over 40 (or you’ve talked to women over 40 about this topic), you probably know that this annual screening requirement for all women is…
Ilnar Galiullin
Valve’s new Steam gaming controller is here—10 years after the original model. It sold out quickly, reviews are everywhere, and Valve is already managing demand through a reservation queue.
At first glance, a consumer gaming controller might seem to have little to do with industrial robots and…
Gleb Tsipursky
A new report from the Federal Reserve Bank of St. Louis shows that output in U.S. businesses is trending higher, even though head count has barely moved. A few years ago you might have blamed pent-up demand or a lucky sales run. In late 2025, the more honest explanation is that a growing share of…
IDS Imaging Development Systems
In modern aircraft production, precision is everything. Every hole and every fixing point must be precisely positioned to ensure safety and quality.
As part of the DiCADeMA project (Digital Cabin Architectures and Design for Manufacturing) led by the German Aerospace Centre (DLR), a novel…
Jeff Dewar
Our video producer Chris Smith almost watched the Artemis II launch in person. He drove to Kennedy Space Center with all his fancy gear, along the way got stuck in the snow twice—in Texas, of all places—and then NASA scrubbed the launch and rolled the rocket back for repairs. So Chris drove back to…
AMETEK
The background: Managing power in data centers is process-critical and extraordinarily complex. These facilities demand substantial amounts of energy, and the supply must remain stable, clean, and capable of adapting quickly to fluctuations in demand.
Expectations for reliability and security…
Cooper Schorr
The era of the unlimited, always-on, general-purpose AI agent is ending. Subscriptions weren’t priced for behavior that never sleeps, and a monthly plan burning thousands of dollars in computation was never going to survive the unit economics.
If you’ve tried to get an AI pilot past Phase One,…
Lily Fang
Software is eating the world, venture capitalist and entrepreneur Marc Andreessen famously declared in 2011. The ensuing 15 years proved him prescient. In February 2026, a Substack article by Citrini Research grabbed headlines and triggered a market sell-off of SaaS (software-as-a-service) firms,…
Megan Wallin-Kerth, Shaun Wissner
Hexagon is showcasing innovation in metrology with the launch of APOLLO, a platform designed to predict failures in CMMs and machine tools before quality and production schedules are affected. This technology highlights the shift from reactive to predictive metrology, saving teams from significant…
NIST
The time had come to open the envelope. But Stephan Schlamminger, a physicist at the National Institute of Standards and Technology (NIST), wasn’t sure he wanted to know the secret number that was inside.
For the past 10 years, Schlamminger had spent most of his working hours trying to measure a…
Ryan Morrison
On paper, material testing looks like one of the most controlled and reliable parts of a construction project. Samples are collected, standardized procedures are followed, and results are documented with precision. Everything points toward certainty.
And yet, failures still happen. Not small ones…
Paul Hanaphy
Pottery is a metaphorical gold mine for archaeologists. Well-preserved ceramics offer a rare glimpse into the lives of past societies, their cultures, traditions, and how they expressed status. When analyzing such finds, stamps and inscriptions are often key.
This is certainly the case for Dries…
Joe Schaeppi
Across manufacturing floors, pharmaceutical labs, and industrial supply chains, AI is moving from experiment to infrastructure. Systems now monitor equipment before it fails, flag quality defects faster than inspectors, and recommend production schedules that once required entire planning teams.…