首页|New Machine Learning Study Results Reported from University of Nottingham (Enhan cing the 3D printing fidelity of vat photopolymerization with machine learning-d riven boundary prediction)
New Machine Learning Study Results Reported from University of Nottingham (Enhan cing the 3D printing fidelity of vat photopolymerization with machine learning-d riven boundary prediction)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in artificial intelligence. According to news reporting from Ningbo, People’s Repub lic of China, by NewsRx journalists, research stated, “Like many pixel-based add itive manufacturing (AM) techniques, digital light processing (DLP) based vat ph otopolymerization faces the challenge that the square pixel based processing str ategy can lead to zigzag edges especially when feature sizes come close to singl e-pixel levels.”
University of NottinghamNingboPeople ’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine Learning
NETL
NSTL
