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 aircraft fuselages to bridge supports—perform reliably under demanding conditions ...
Background Adult-onset Still’s disease (AOSD) is a systemic autoinflammatory disorder lacking a gold-standard diagnostic ...
Guest blog by Anthony Collins, Technical Director Data and Digital Competency Centre; Nathaniel Henman, Data Scientist; John ...
Summary: A new study utilizes Koopman operator learning to prove that certain complex, chaotic systems have fundamental ...
For most of the industry’s history, the lever for semiconductor performance gains was process-node scaling. That is no longer the whole story. As one recent industry analysis put it, advanced ...
Google's TabFM skips per-dataset training and still predicts on unseen tables, matching tuned baselines and cutting pipeline ...
PHILADELPHIA, PA, UNITED STATES, July 19, 2026 /EINPresswire.com/ -- Sulthanul Arif, Data Engineering Senior Manager at ...
A practical guide to electronic lab notebook research tools, covering key features, data structure, and migration steps.
Orbital Compute’s proposed 100,000-satellite network and Cowboy Space’s vertically integrated Stampede system offer sharply ...
The safety performance of autonomous vehicle (AV) algorithms is boosted by 90% using simulation data that better incorporates ...
Opinion
The Business & Financial Times on MSNOpinion

Data as a liability: Rethinking information governance in the AI era

Introduction: The Data Paradox For decades, organizations have treated data as an asset, collected, analysed, and leveraged for competitive advantage. Data-driven decision-making promised benefits ...
From precision medicine to personalized job training, customizing interventions for individuals is often assumed to produce ...