How to Validate AI Tools
Validating AI software makes most quality teams uneasy.
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Validating AI software makes most quality teams uneasy.
Many of modern astronomy’s achievements can be traced back to relatively unknown women who painstakingly cataloged the stars in the early 1900s.
In the high-stakes world of modern manufacturing, environmental, health, and safety (EHS) management is no longer a back-office checkbox.
Artec Ray II (left) and Artec Leo at the customer’s workshop.
At the heart of every construction project around the world is a handful of vehicles doing all the heavy lifting.
A forensic DNA analyst prepares a sample for analysis.
The National Institute of Standards and Technology (NIST) has released a new forensic DNA reference material, RM 8043, that includes degraded DNA as well
If you ask 10 different manufacturers to identify their toughest problem, odds are at least five of them will say, “We can’t get parts through the shop floor fast enough.”
Across manufacturing floors, pharmaceutical labs, and industrial supply chains, AI is moving from experiment to infrastructure.
As mining operations push toward lower-grade deposits and tighter economic margins, the reliability of analytical measurement has become central to operational decision-making.
I am exploring what I think is a fundamental question in epistemology: What does it mean to say something is true? I want to approach this through the lens of cybernetic constructivism.
In precision machining there’s a particularly deceptive failure mode. Everything looks fine. The toolpath is clean, cutting is stable, the part’s almost finished. And then you discover that you took off too much somewhere.
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