Aerospace and Mechanical Insider on MSN

AI and machine learning transform materials testing

Materials testing remains a cornerstone of engineering and manufacturing, ensuring that components and structures—from ...
From superconductors and AI-driven quantum analysis to black hole physics, Day 2 of QMAT2026 highlighted cutting-edge ...
Machine learning models narrow down solutions in synthesis, compounding, product design, and more.
The Deployed Data Scientist: MLOps and Analytics in Practice, co-authored by Ankit Anand, Dr. Scott Burk, and Kinshuk Dutta, is helping data professionals address one of the industry’s most pressing ...
Artificial intelligence isn't capable of doing everything a human being can do, which is why so many blue collar jobs are ...
Software engineers need more than coding skills to get hired today. Interviews now test judgment, AI skills, and problem ...
Some of these approaches may show promise, but new research indicates much of today’s AI is even more easily duped by false ...
Apple is introducing a new version of its system-level RAW image processing engine that uses machine learning to greatly ...
A lot of companies suddenly seem to be hiring FDEs to oversee successful AI deployments. With that in mind, AWS exec Taimur Rashid talked about how his company approaches the role, what FDEs do, and ...
Front and center at Automate 2026, machine vision solution suppliers showed how vision systems are foundational to industrial automation. Explore some of the products ...
Building material samples from the University of Delaware spent six months bolted to the outside of the International Space ...
For many years, success in the laboratory was defined primarily by analytical performance. While that remains essential, it ...