{"id":1817,"date":"2024-11-09T14:42:17","date_gmt":"2024-11-09T19:42:17","guid":{"rendered":"https:\/\/web.uri.edu\/cypher\/?p=1817"},"modified":"2025-11-24T10:25:37","modified_gmt":"2025-11-24T15:25:37","slug":"hardware-accelerated-machine-learning-ml-aided-electronic-design-automation-eda-for-integrated-power-electronics-building-block-ipebb","status":"publish","type":"post","link":"https:\/\/web.uri.edu\/cypher\/hardware-accelerated-machine-learning-ml-aided-electronic-design-automation-eda-for-integrated-power-electronics-building-block-ipebb\/","title":{"rendered":"Hardware-Accelerated Machine Learning (ML)-Aided Electronic Design Automation (EDA) for Integrated Power Electronics Building Block (iPEBB)"},"content":{"rendered":"\n<p>The University of Rhode Island, led by Prof. Yeonho Jeong, proposes developing hardware-accelerated machine learning (ML) techniques for electronic design automation (EDA) to advance Integrated Power Electronics Building Block (iPEBB) designs for naval applications.&nbsp;<\/p>\n\n\n\n<p><strong>Key Highlights:<\/strong>&nbsp;<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Innovative Technology:<\/strong> Leverage FPGA-based simulation and ML models to accelerate circuit design by 500x.&nbsp;<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>AI-Driven Design:<\/strong> Implement reinforcement learning to optimize power electronics configurations.&nbsp;<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Real-World Testing:<\/strong> Validate designs with prototypes and performance assessments.&nbsp;<\/li>\n<\/ul>\n\n\n\n<p><strong>Impact and Value:<\/strong>&nbsp;<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>For Industry &amp; Leaders:<\/strong> Supports advanced naval power systems and shipboard innovations.&nbsp;<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>For Students:<\/strong> Provides opportunities to work on AI, ML, and power electronics design projects.&nbsp;<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>For the Nation:<\/strong> Strengthens U.S. naval technological superiority through cutting-edge EDA solutions.&nbsp;<\/li>\n<\/ul>\n\n\n\n<p>This initiative project combines AI, ML, and high-performance hardware design to drive innovation in naval power systems and cultivate future STEM leaders.\u00a0<\/p>\n\n\n\n<p>Funding Source: Office of Naval Research (ONR)<br>Amount: $500,000.68<br>PI: Yeonho Jeong<br>Funding Period: August 1, 2024 \u2013 July 31, 2029<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The University of Rhode Island, led by Prof. Yeonho Jeong, proposes developing hardware-accelerated machine learning (ML) techniques for electronic design automation (EDA) to advance Integrated Power Electronics Building Block (iPEBB) designs for naval applications.&nbsp; Key Highlights:&nbsp; Impact and Value:&nbsp; This initiative project combines AI, ML, and high-performance hardware design to drive innovation in naval power [&hellip;]<\/p>\n","protected":false},"author":5280,"featured_media":2559,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":"","_links_to":"","_links_to_target":""},"categories":[20],"tags":[],"class_list":["post-1817","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-research"],"acf":[],"_links":{"self":[{"href":"https:\/\/web.uri.edu\/cypher\/wp-json\/wp\/v2\/posts\/1817","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/web.uri.edu\/cypher\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/web.uri.edu\/cypher\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/web.uri.edu\/cypher\/wp-json\/wp\/v2\/users\/5280"}],"replies":[{"embeddable":true,"href":"https:\/\/web.uri.edu\/cypher\/wp-json\/wp\/v2\/comments?post=1817"}],"version-history":[{"count":3,"href":"https:\/\/web.uri.edu\/cypher\/wp-json\/wp\/v2\/posts\/1817\/revisions"}],"predecessor-version":[{"id":1894,"href":"https:\/\/web.uri.edu\/cypher\/wp-json\/wp\/v2\/posts\/1817\/revisions\/1894"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/web.uri.edu\/cypher\/wp-json\/wp\/v2\/media\/2559"}],"wp:attachment":[{"href":"https:\/\/web.uri.edu\/cypher\/wp-json\/wp\/v2\/media?parent=1817"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/web.uri.edu\/cypher\/wp-json\/wp\/v2\/categories?post=1817"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/web.uri.edu\/cypher\/wp-json\/wp\/v2\/tags?post=1817"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}