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Tech Xplore on MSNAI takes flight: Project to boost machine learning in aircraft surface inspections
Aircraft surface inspections are a critical and mandatory component of airworthiness that uses visual and digital checks to spot minute damage, wear, or malfunction.
These projects build on work that a small team at Jefferson Lab began back in 2018 to explore how machine learning techniques could help classify cavity fault data.
Princeton Plasma Physics Laboratory is marking significant results from the lab’s artificial intelligence machine learning research.
Environmental scientists are increasingly using enormous artificial intelligence models to make predictions about changes in ...
Overview: Free datasets are essential for practice, research, and AI model development.Platforms like Kaggle, UCI, and Google ...
Deep Learning with Yacine on MSN10d
How to Structure Machine Learning Projects for Production
Learn how to organize and structure your machine learning projects for real-world deployment. From directory layout to model ...
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