<?xml-stylesheet type="text/xsl" href="https://community.cadence.com/cfs-file/__key/system/syndication/rss.xsl" media="screen"?><rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:slash="http://purl.org/rss/1.0/modules/slash/" xmlns:wfw="http://wellformedweb.org/CommentAPI/"><channel><title>Generating High-Quality Data for Turbomachinery Machine Learning</title><link>/cadence_blogs_8/b/cfd/posts/generating-high-quality-data-for-turbomachinery-machine-learning</link><description>Inverse design and high-fidelity CFD enable ML predictors that accelerate optimization and design-space exploration with smaller datasets.</description><dc:language>en-US</dc:language><generator>Telligent Community 13</generator></channel></rss>