首页|Study Data from Washington State University Update Knowledge of Machine Learning (Machine Learning Enabled Design and Optimization for 3d-printing of High-fidel ity Presurgical Organ Models)
Study Data from Washington State University Update Knowledge of Machine Learning (Machine Learning Enabled Design and Optimization for 3d-printing of High-fidel ity Presurgical Organ Models)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According tonews reporting originating from Pullman, W ashington, by NewsRx correspondents, research stated, “Thedevelopment of a gene ral-purpose machine learning algorithm capable of quickly identifying optimal 3D-printing settings can save manufacturing time and cost, reduce labor intensity, and improve the quality of3D-printed objects. Existing methods have limitation s which focus on overall performance or one specificaspect of 3D-printing quali ty.”
PullmanWashingtonUnited StatesNort h and Central AmericaCyborgsEmerging TechnologiesMachine LearningWashing ton State University
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