{"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":"2021-10-13T09:28:50","modified_gmt":"2021-10-13T16:28:50","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":"<div id='template_slider'  class='avia-fullwidth-slider main_color avia-shadow   avia-builder-el-0  el_before_av_section  avia-builder-el-first   container_wrap fullsize' style=' '  ><div   data-size='no scaling'  data-lightbox_size='large'  data-animation='slide'  data-conditional_play=''  data-ids='3925'  data-video_counter='0'  data-autoplay='false'  data-bg_slider='false'  data-slide_height=''  data-handle='av_slideshow_full'  data-interval='5'  data-class=' '  data-el_id=''  data-css_id=''  data-scroll_down=''  data-control_layout='av-control-default'  data-custom_markup=''  data-perma_caption=''  data-autoplay_stopper=''  data-image_attachment=''  data-min_height='110px'  data-lazy_loading='disabled'  data-src=''  data-position='top left'  data-repeat='no-repeat'  data-attach='scroll'  data-stretch=''  class='avia-slideshow avia-slideshow-1  av-control-default av-default-height-applied avia-slideshow-no scaling av_slideshow_full   avia-slide-slider '  itemprop=\"image\" itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/ImageObject\" ><ul class='avia-slideshow-inner ' style='padding-bottom: 10.46875%;' ><li  class=' av-single-slide slide-1 ' ><div data-rel='slideshow-1' class='avia-slide-wrap '   ><div class = \"caption_fullwidth av-slideshow-caption caption_bottom\"><div class = \"container caption_container\"><div class = \"slideshow_caption\"><div class = \"slideshow_inner_caption\"><div class = \"slideshow_align_caption\"><h2  style='font-size:50px; ' class='avia-caption-title   av-small-font-size-overwrite av-small-font-size-36 av-mini-font-size-overwrite av-mini-font-size-24'  itemprop=\"name\" >Webinars<\/h2><\/div><\/div><\/div><\/div><\/div><img decoding=\"async\" class=\"wp-image-18676 avia-img-lazy-loading-not-18676\"  src=\"https:\/\/silvaco.com\/wp-content\/uploads\/2018\/12\/Webinar.jpg\" width=\"1920\" height=\"201\" title='Banner Blue' alt=''  itemprop=\"thumbnailUrl\"  style='min-height:110px; min-width:1051px; ' 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=\"(max-width: 1920px) 100vw, 1920px\" \/><\/div><\/li><\/ul><\/div><\/div>\n<div id='av_section_1'  class='avia-section main_color avia-section-small avia-no-border-styling  avia-bg-style-scroll  avia-builder-el-1  el_after_av_slideshow_full  avia-builder-el-last   container_wrap fullsize' style='background-color: #ffffff;  margin-top:0px; margin-bottom:0px; '  ><div class='container' ><div class='template-page content  av-content-full alpha units'><div class='post-entry post-entry-type-page post-entry-35801'><div class='entry-content-wrapper clearfix'>\n<div class='flex_column_table av-equal-height-column-flextable -flextable' style='margin-top:20px; margin-bottom:0px; '><div class=\"flex_column av_three_fourth  flex_column_table_cell av-equal-height-column av-align-top first  avia-builder-el-2  el_before_av_one_fourth  avia-builder-el-first  \" style='padding:0px 0px 0px 0px ; border-radius:0px; '><section class=\"av_textblock_section \"  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/BlogPosting\" itemprop=\"blogPost\" ><div class='avia_textblock  '   itemprop=\"text\" ><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<\/div><\/section><br \/>\n<div   class='hr hr-default   avia-builder-el-4  el_after_av_textblock  el_before_av_textblock '><span class='hr-inner ' ><span class='hr-inner-style'><\/span><\/span><\/div><br \/>\n<section class=\"av_textblock_section \"  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/BlogPosting\" itemprop=\"blogPost\" ><div class='avia_textblock mfp-hide '   itemprop=\"text\" ><h2>Presenter<\/h2>\n<\/div><\/section><br \/>\n<section class=\"av_textblock_section \"  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/BlogPosting\" itemprop=\"blogPost\" ><div class='avia_textblock  '   itemprop=\"text\" ><p><img loading=\"lazy\" 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<\/div><\/section><br \/>\n<div   class='hr hr-default   avia-builder-el-7  el_after_av_textblock  el_before_av_textblock '><span class='hr-inner ' ><span class='hr-inner-style'><\/span><\/span><\/div><br \/>\n<section class=\"av_textblock_section \"  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/BlogPosting\" itemprop=\"blogPost\" ><div class='avia_textblock  '   itemprop=\"text\" ><h3>WHO SHOULD ATTEND:<\/h3>\n<\/div><\/section><br \/>\n<section class=\"av_textblock_section \"  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/BlogPosting\" itemprop=\"blogPost\" ><div class='avia_textblock  '   itemprop=\"text\" ><p>IC designers, CAD engineers, and managers who are looking to improve the productivity of their design flow.<\/p>\n<\/div><\/section><\/p><\/div><div class='av-flex-placeholder'><\/div><div class=\"flex_column av_one_fourth  flex_column_table_cell av-equal-height-column av-align-top   avia-builder-el-10  el_after_av_three_fourth  avia-builder-el-last  \" style='padding:0px 0px 0px 0px ; border-radius:0px; '><p><section class=\"av_textblock_section \"  id=\"date\"  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/BlogPosting\" itemprop=\"blogPost\" ><div class='avia_textblock  '   itemprop=\"text\" ><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><\/section><br \/>\n<div   class='hr hr-default   avia-builder-el-12  el_after_av_textblock  el_before_av_codeblock '><span class='hr-inner ' ><span class='hr-inner-style'><\/span><\/span><\/div><br \/>\n<br \/>\n<div  class='avia-button-wrap avia-button-center  avia-builder-el-14  el_after_av_codeblock  el_before_av_hr ' ><a href='\/dynamicweb\/jsp\/downloads\/DownloadDocStepsAction.do?req=silen-download&amp;nm=Machine_Learning_in_the_EDA_Specific_Domain.mp4&amp;prefixname=video'  class='avia-button  avia-color-grey   avia-icon_select-no avia-size-small avia-position-center '   ><span class='avia_iconbox_title' >Register to View Archive<\/span><\/a><\/div><br \/>\n<div   class='hr hr-default   avia-builder-el-15  el_after_av_button  avia-builder-el-last '><span class='hr-inner ' ><span class='hr-inner-style'><\/span><\/span><\/div><\/p><\/div><\/div><!--close column table wrapper. Autoclose: 1 -->\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":3,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[7730,7752],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v24.0 (Yoast SEO v24.0) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\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. 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