首页|New Findings in Machine Learning Described from University of Sydney (Machine Le arning-based Design for Additive Manufacturing In Biomedical Engineering)
New Findings in Machine Learning Described from University of Sydney (Machine Le arning-based Design for Additive Manufacturing In Biomedical Engineering)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Machine Learning are discussed in a new report. According to news reporting originating from Sydn ey, Australia, by NewsRx correspondents, research stated, “While ceramic additiv e manufacturing (AM) technologies have shown great promise to create functional scaffolds with tailored biomechanical properties, the true potential of these ad vanced techniques has not been fully exploited yet due to lack of practical desi gn optimisation approaches. To address this challenge, a machine learning (ML)-b ased design approach is proposed herein where ceramic 3D printing techniques are combined to fabricate functionally graded tissue scaffolds composed of Triply P eriodic Minimal Surfaces (TPMS), aiming to fulfil the anticipated biomechanical requirements for the target bone regeneration outcomes.”
SydneyAustraliaAustralia and New Zea landBiomechanical EngineeringCyborgsEmerging TechnologiesMachine Learnin gUniversity of Sydney
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