{"id":69,"date":"2025-10-18T06:49:55","date_gmt":"2025-10-18T06:49:55","guid":{"rendered":"https:\/\/www.mliglon.com\/?page_id=69"},"modified":"2025-11-25T20:16:11","modified_gmt":"2025-11-25T20:16:11","slug":"mliglons-integer-gate-logic-igl-the-post-backpropagation-era-begins-here","status":"publish","type":"page","link":"https:\/\/www.mliglon.com\/","title":{"rendered":"Home"},"content":{"rendered":"\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"720\" height=\"144\" src=\"https:\/\/www.mliglon.com\/wp-content\/uploads\/2025\/10\/Logo.png\" alt=\"\" class=\"wp-image-185\" srcset=\"https:\/\/www.mliglon.com\/wp-content\/uploads\/2025\/10\/Logo.png 720w, https:\/\/www.mliglon.com\/wp-content\/uploads\/2025\/10\/Logo-300x60.png 300w\" sizes=\"auto, (max-width: 720px) 100vw, 720px\" \/><\/figure>\n\n\n\n<p><\/p>\n\n\n\n<p>Integer Gate Logic (&#8220;IGL&#8221;) delivers unprecedented improvements in AI-system performance: from TinyML to datacenter scale, IGL neural networks are faster, more efficient, and more accurate than traditional AI systems.<\/p>\n\n\n\n<p><strong>Core Technology: IGL Intelligent Nodes<\/strong><\/p>\n\n\n\n<p>Each node in an IGL network uses a non-differentiable activation function to emulate any desired Boolean or other combinatorial logic function using integer math. This significantly increases parametric knowledge density over conventional networks that use gradient descent-based weighted sum nodes.<\/p>\n\n\n\n<p><strong>IGL Benefits<\/strong> <\/p>\n\n\n\n<p>+10X faster inference and training speeds<\/p>\n\n\n\n<p>90% fewer parameters<\/p>\n\n\n\n<p>Highly parallelizable<\/p>\n\n\n\n<p>Linear scalability<\/p>\n\n\n\n<p>Fully explainable AI via internal Boolean logic flows and real-time internal visualization &#8211; no more AI \u201cblack box\u201d effects<\/p>\n\n\n\n<p><\/p>\n\n\n\n<p><\/p>\n\n\n\n<p>For More Information, contact us at <strong><span style=\"text-decoration: underline;\">info@mliglon.com<\/span> <\/strong><\/p>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Integer Gate Logic (&#8220;IGL&#8221;) delivers unprecedented improvements in AI-system performance: from TinyML to datacenter scale, IGL neural networks are faster, more efficient, and more accurate than traditional AI systems. Core Technology: IGL Intelligent Nodes Each node in an IGL network uses a non-differentiable activation function to emulate any desired Boolean or other combinatorial logic function [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-69","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/www.mliglon.com\/index.php\/wp-json\/wp\/v2\/pages\/69","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.mliglon.com\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.mliglon.com\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.mliglon.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.mliglon.com\/index.php\/wp-json\/wp\/v2\/comments?post=69"}],"version-history":[{"count":16,"href":"https:\/\/www.mliglon.com\/index.php\/wp-json\/wp\/v2\/pages\/69\/revisions"}],"predecessor-version":[{"id":206,"href":"https:\/\/www.mliglon.com\/index.php\/wp-json\/wp\/v2\/pages\/69\/revisions\/206"}],"wp:attachment":[{"href":"https:\/\/www.mliglon.com\/index.php\/wp-json\/wp\/v2\/media?parent=69"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}