首页|Findings from Northeastern University Provide New Insights into Machine Learning (Accelerating Ultrashort Pulse Laser Micromachining Process Comprehensive Optimization Using a Machine Learning Cycle Design Strategy Integrated With a Physical ...)

Findings from Northeastern University Provide New Insights into Machine Learning (Accelerating Ultrashort Pulse Laser Micromachining Process Comprehensive Optimization Using a Machine Learning Cycle Design Strategy Integrated With a Physical ...)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Machine Learning have been presented. According to news reporting originating from Liaoning, People’s Republic of China, by NewsRx correspondents, research stated, “The demand for industrial development toward advanced and precision manufacturing has sparked in terest in ultrafast laser-based micromachining methods, particularly emerging ad vanced machining methods, such as laser-induced plasma micromachining (LIPMM). T he main challenge in laser micromachining is finding the optimal process in a large process space to achieve a comprehensive improvement in processing efficiency and quality as approaches that rely on trial-and-error are impractical.”

LiaoningPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningNortheastern University

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Oct.29)