Researchers use machine learning to detect defects in additive manufacturing. ScienceDaily. Retrieved June 2, 2025 from www.sciencedaily.com / releases / 2024 / 06 / 240604132239.htm.

Since then, 'machine learning’ and artificial intelligence has evolved considerably, and in 2018, Keysight Eggplant integrated such tools into its Digital Automation Intelligence (DAI) platform, which ...

Structural defects that form during additive manufacturing, also known as 3D printing, are a barrier to some applications of this technology. Researchers used diagnostic tools and machine learning ...

Sub-millisecond keyhole pore detection in laser powder bed fusion using sound and light sensors and machine learning, Materials Futures, 2024, DOI: 10.1088/2752-5724/ad89e2. Journal Materials Futures ...

Detecting and classifying hidden defects in additively manufactured parts using deep learning and X-ray computed tomography Article Publication Date 24-May-2024 ...