Rapid development of compounds relies on understanding the microstructure of their materials<\/strong> (grain size, porosity, morphology, etc.), a reliable manufacturing process, and in-depth performance analysis for different applications. To solve some of the industrial challenges (increasing throughput, providing defect-free products) and stay ahead of competitors, automated, reliable and intelligent analysis techniques are needed.<\/p>\n Using Deep Learning and a powerful image analysis engine, MIPAR<\/strong> enables users to perform fast, accurate and automated analysis of their images<\/strong>. In three simple steps<\/strong>: plot, train, and apply, researchers can create a model that identifies specific features, and then run custom parametric sheets on new images to detect complex features in one to two seconds.<\/p>\n In this webinar, you will learn about the MIPAR solution<\/strong> and how its powerful algorithm<\/strong> is able to provide solutions for researchers in the materials sciences. \u00a0<\/p>\n","protected":false},"excerpt":{"rendered":" Webinar in French.<\/p>\n","protected":false},"featured_media":19718,"template":"","meta":{"_acf_changed":false,"inline_featured_image":false,"_uag_custom_page_level_css":"","footnotes":""},"webinar-category":[],"class_list":["post-19694","webinar","type-webinar","status-publish","has-post-thumbnail","hentry"],"acf":[],"yoast_head":"\n