{"id":35801,"date":"2020-05-20T23:50:04","date_gmt":"2020-05-20T23:50:04","guid":{"rendered":"https:\/\/silvaco.com\/%e6%9c%aa%e5%88%86%e7%b1%bb\/machine-learning-in-the-eda-specific-domain-20-years-in-the-making\/"},"modified":"2026-10-02T06:09:36","modified_gmt":"2026-10-02T13:09:36","slug":"machine-learning-in-the-eda-specific-domain-20-years-in-the-making","status":"publish","type":"post","link":"https:\/\/silvaco.com\/zh-hans\/analog-custom-design-zh-hans\/modeling-zh-hans\/modeling-webinars-zh-hans\/machine-learning-in-the-eda-specific-domain-20-years-in-the-making\/","title":{"rendered":"Machine Learning in the EDA-Specific Domain &#8211; 20 Years in the Making"},"content":{"rendered":"<p><img loading=\"lazy\" width=\"1920\" height=\"201\" src=\"https:\/\/silvaco.com\/wp-content\/uploads\/2018\/12\/Webinar.jpg\" class=\"cleaned-enfold-image\" alt=\"Banner Blue\" decoding=\"async\" loading=\"lazy\" srcset=\"https:\/\/silvaco.com\/wp-content\/uploads\/2018\/12\/Webinar.jpg 1920w, https:\/\/silvaco.com\/wp-content\/uploads\/2018\/12\/Webinar-300x31.jpg 300w, https:\/\/silvaco.com\/wp-content\/uploads\/2018\/12\/Webinar-1030x108.jpg 1030w, https:\/\/silvaco.com\/wp-content\/uploads\/2018\/12\/Webinar-768x80.jpg 768w, https:\/\/silvaco.com\/wp-content\/uploads\/2018\/12\/Webinar-1536x161.jpg 1536w, https:\/\/silvaco.com\/wp-content\/uploads\/2018\/12\/Webinar-1500x157.jpg 1500w, https:\/\/silvaco.com\/wp-content\/uploads\/2018\/12\/Webinar-705x74.jpg 705w, https:\/\/silvaco.com\/wp-content\/uploads\/2018\/12\/Webinar-43x5.jpg 43w, https:\/\/silvaco.com\/wp-content\/uploads\/2018\/12\/Webinar-63x7.jpg 63w, https:\/\/silvaco.com\/wp-content\/uploads\/2018\/12\/Webinar-48x5.jpg 48w\" sizes=\"auto, (max-width: 1920px) 100vw, 1920px\" \/><\/p>\n<h1>Machine Learning in the EDA-Specific Domain&amp;20 Years in the Making<\/h1>\n<p>Machine learning (ML) is not new in EDA. For the last 20 years, new data analysis methods have been adapted to be used under the specific features and constraints of EDA. These challenges, which include limited computing resources, short project time, limited and noisy data, and growing statistical variations at advanced nodes, have forced the adaptation of ML methods, and other advanced techniques, to address these hard constraints. This webinar will review these new approaches and how they are applied to different applications. Example ML-based EDA tools form Silvaco will be presented to illustrate what have been achieved.<\/p>\n<h2>Presenter<\/h2>\n<p><img decoding=\"async\" class=\"wp-image-9977 size-thumbnail alignleft\" src=\"\/wp-content\/uploads\/2020\/05\/firas-80x80.jpg\" alt=\"\" width=\"80\" height=\"80\" srcset=\"https:\/\/silvaco.com\/wp-content\/uploads\/2020\/05\/firas-80x80.jpg 80w, https:\/\/silvaco.com\/wp-content\/uploads\/2020\/05\/firas-36x36.jpg 36w, https:\/\/silvaco.com\/wp-content\/uploads\/2020\/05\/firas-37x37.jpg 37w, https:\/\/silvaco.com\/wp-content\/uploads\/2020\/05\/firas-55x55.jpg 55w, https:\/\/silvaco.com\/wp-content\/uploads\/2020\/05\/firas-48x48.jpg 48w, https:\/\/silvaco.com\/wp-content\/uploads\/2020\/05\/firas.jpg 120w\" sizes=\"(max-width: 80px) 100vw, 80px\" \/>Dr Firas Mohamed: VP &amp; GM, Machine Learning &amp; Flow Optimization Division has over twenty-five years\u2019 experience in EDA industry. The beginning was by developing a complete Expert system for test &amp; diagnosis of analog and mixed-signal circuits during his Ph.D years. A major step of his career was in 2005 where he was Prizewinner of the French National Competition rewarding innovative technologies, which led him to the creation of Infiniscale S.A. that he served as President &amp; CEO until its acquisition by Silvaco Inc. end 2015. Firas started his professional career at Mentor Graphics with spice simulation team, he was also in charge of modeling and optimization environments. In 2000, Firas took over CAD core technology development department of MEMSCAP S.A.<\/p>\n<p>Firas holds computer science engineer degree from HIAST, the Higher Institute of Applied Sciences and Technology of Damascus and a PhD in Microelectronics from INPG, the National Polytechnic Institute of Grenoble in France.<\/p>\n<h3>WHO SHOULD ATTEND:<\/h3>\n<p>IC designers, CAD engineers, and managers who are looking to improve the productivity of their design flow.<\/p>\n<p><strong>When<\/strong>: June 25, 2020<br \/>\n<strong>Where<\/strong>: Online<br \/>\n<strong>Time<\/strong>: 10:00am-10:30am-(PDT)<br \/>\n<strong>Language<\/strong>: English<\/p>\n<div style=\"padding: 10px; background-color: #99ccff;\">\n<h1 align=\"center\">Register<!-- to view On-Demand Webinar-->!<\/h1>\n<p><iframe style=\"border: 0;\" src=\"https:\/\/go.silvaco.com\/l\/145371\/2020-05-20\/2ybq9g\" width=\"100%\" height=\"500\" frameborder=\"0\"><\/iframe><\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p><b>June 25, 2020 | 10:00 am \u2013 10:30 am (PDT)<\/b><br \/>\nThis webinar will review these new approaches and how they are applied to different applications. Example ML-based EDA tools form Silvaco will be presented to illustrate what have been achieved.<\/p>\n","protected":false},"author":12,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[7730,7752],"tags":[],"class_list":["post-35801","post","type-post","status-publish","format-standard","hentry","category-modeling-webinars-zh-hans","category-variation-webinars-zh-hans","entry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v28.7 (Yoast SEO v28.7) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Machine Learning in the EDA-Specific Domain - 20 Years in the Making - Silvaco<\/title>\n<meta name=\"description\" content=\"Machine learning (ML) is not new in EDA. New data analysis methods have been adapted to be used under the specific features and constraints of EDA.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/silvaco.com\/zh-hans\/analog-custom-design-zh-hans\/modeling-zh-hans\/modeling-webinars-zh-hans\/machine-learning-in-the-eda-specific-domain-20-years-in-the-making\/\" \/>\n<meta property=\"og:locale\" content=\"zh_CN\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Machine Learning in the EDA-Specific Domain - 20 Years in the Making\" \/>\n<meta property=\"og:description\" content=\"Machine learning (ML) is not new in EDA. New data analysis methods have been adapted to be used under the specific features and constraints of EDA.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/silvaco.com\/zh-hans\/analog-custom-design-zh-hans\/modeling-zh-hans\/modeling-webinars-zh-hans\/machine-learning-in-the-eda-specific-domain-20-years-in-the-making\/\" \/>\n<meta property=\"og:site_name\" content=\"Silvaco\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/SilvacoSoftware\/\" \/>\n<meta property=\"article:published_time\" content=\"2020-05-20T23:50:04+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2026-10-02T13:09:36+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/silvaco.com\/wp-content\/uploads\/2018\/12\/Webinar.jpg\" \/>\n<meta name=\"author\" content=\"Casey Molver\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@SilvacoSoftware\" \/>\n<meta name=\"twitter:site\" content=\"@SilvacoSoftware\" \/>\n<meta name=\"twitter:label1\" content=\"\u4f5c\u8005\" \/>\n\t<meta name=\"twitter:data1\" content=\"Casey Molver\" \/>\n\t<meta name=\"twitter:label2\" content=\"\u9884\u8ba1\u9605\u8bfb\u65f6\u95f4\" \/>\n\t<meta name=\"twitter:data2\" content=\"1 minute\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/silvaco.com\\\/zh-hans\\\/analog-custom-design-zh-hans\\\/modeling-zh-hans\\\/modeling-webinars-zh-hans\\\/machine-learning-in-the-eda-specific-domain-20-years-in-the-making\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/silvaco.com\\\/zh-hans\\\/analog-custom-design-zh-hans\\\/modeling-zh-hans\\\/modeling-webinars-zh-hans\\\/machine-learning-in-the-eda-specific-domain-20-years-in-the-making\\\/\"},\"author\":{\"name\":\"Casey Molver\",\"@id\":\"https:\\\/\\\/silvaco.com\\\/#\\\/schema\\\/person\\\/2763eb741ca5ac04477fdff50ed84c80\"},\"headline\":\"Machine Learning in the EDA-Specific Domain &#8211; 20 Years in the Making\",\"datePublished\":\"2020-05-20T23:50:04+00:00\",\"dateModified\":\"2026-10-02T13:09:36+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/silvaco.com\\\/zh-hans\\\/analog-custom-design-zh-hans\\\/modeling-zh-hans\\\/modeling-webinars-zh-hans\\\/machine-learning-in-the-eda-specific-domain-20-years-in-the-making\\\/\"},\"wordCount\":306,\"image\":{\"@id\":\"https:\\\/\\\/silvaco.com\\\/zh-hans\\\/analog-custom-design-zh-hans\\\/modeling-zh-hans\\\/modeling-webinars-zh-hans\\\/machine-learning-in-the-eda-specific-domain-20-years-in-the-making\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/silvaco.com\\\/wp-content\\\/uploads\\\/2018\\\/12\\\/Webinar.jpg\",\"articleSection\":[\"Modeling Webinars\",\"Variation Webinars\"],\"inLanguage\":\"zh-CN\"},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/silvaco.com\\\/zh-hans\\\/analog-custom-design-zh-hans\\\/modeling-zh-hans\\\/modeling-webinars-zh-hans\\\/machine-learning-in-the-eda-specific-domain-20-years-in-the-making\\\/\",\"url\":\"https:\\\/\\\/silvaco.com\\\/zh-hans\\\/analog-custom-design-zh-hans\\\/modeling-zh-hans\\\/modeling-webinars-zh-hans\\\/machine-learning-in-the-eda-specific-domain-20-years-in-the-making\\\/\",\"name\":\"Machine Learning in the EDA-Specific Domain - 20 Years in the Making - Silvaco\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/silvaco.com\\\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\\\/\\\/silvaco.com\\\/zh-hans\\\/analog-custom-design-zh-hans\\\/modeling-zh-hans\\\/modeling-webinars-zh-hans\\\/machine-learning-in-the-eda-specific-domain-20-years-in-the-making\\\/#primaryimage\"},\"image\":{\"@id\":\"https:\\\/\\\/silvaco.com\\\/zh-hans\\\/analog-custom-design-zh-hans\\\/modeling-zh-hans\\\/modeling-webinars-zh-hans\\\/machine-learning-in-the-eda-specific-domain-20-years-in-the-making\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/silvaco.com\\\/wp-content\\\/uploads\\\/2018\\\/12\\\/Webinar.jpg\",\"datePublished\":\"2020-05-20T23:50:04+00:00\",\"dateModified\":\"2026-10-02T13:09:36+00:00\",\"author\":{\"@id\":\"https:\\\/\\\/silvaco.com\\\/#\\\/schema\\\/person\\\/2763eb741ca5ac04477fdff50ed84c80\"},\"description\":\"Machine learning (ML) is not new in EDA. 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