{"id":33866,"date":"2025-12-08T14:01:59","date_gmt":"2025-12-08T14:01:59","guid":{"rendered":"https:\/\/staging.embraceable.ai\/?page_id=33866"},"modified":"2025-12-08T14:40:09","modified_gmt":"2025-12-08T14:40:09","slug":"research","status":"publish","type":"page","link":"https:\/\/embraceable.ai\/en\/research\/","title":{"rendered":"Research"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"33866\" class=\"elementor elementor-33866\" data-elementor-post-type=\"page\">\n\t\t\t\t<div class=\"elementor-element elementor-element-279745e3 e-flex e-con-boxed e-con e-parent\" data-id=\"279745e3\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-18316037 e-con-full e-flex e-con e-child\" data-id=\"18316037\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-1f4bc4e4 elementor-widget elementor-widget-heading\" data-id=\"1f4bc4e4\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Fundamental research for...<br><span style=\"color: #f4ff76;\">Advanced Cognitive Systems<\/span><\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6286a988 elementor-widget-mobile__width-inherit elementor-widget-widescreen__width-inherit elementor-widget__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"6286a988\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Since 2018, we have been conducting fundamental research and experimental development of innovative AI architectures. These activities form the technological and methodological basis of the Conclusion Cognitive Models (CCMs).<\/p><p>In mid-2025, we spun off our research into a separate research unit\u2014the <strong>Advanced Cognitive Systems Lab<\/strong>\u2014to focus and intensify our research even more strongly. For us, CCMs are not the goal, but the beginning of a new class of cognitive systems\u2014powerful, controllable, and safe.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-7f25ca4f e-flex e-con-boxed e-con e-parent\" data-id=\"7f25ca4f\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-1c5591fa e-con-full e-flex e-con e-child\" data-id=\"1c5591fa\" data-element_type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-f84ccbf e-con-full e-flex e-con e-child\" data-id=\"f84ccbf\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-423fbb5c elementor-widget elementor-widget-heading\" data-id=\"423fbb5c\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Our research <span style=\"color: #f4ff76;\">Focus Areas<\/span><\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-2d75004f elementor-widget elementor-widget-text-editor\" data-id=\"2d75004f\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p data-path-to-node=\"8\">Our research follows a clear vision: <b>Machines that can think\u2014<br \/>traceably, controllably, and safely.<\/b> CCMs are just the first step.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-128c2a60 e-con-full e-flex e-con e-child\" data-id=\"128c2a60\" data-element_type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-33adb31d e-con-full e-flex e-con e-child\" data-id=\"33adb31d\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-347b3f3c elementor-widget elementor-widget-heading\" data-id=\"347b3f3c\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">Higher-Order<br>Machine Reasoning<\/h4>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-913ae28 elementor-widget elementor-widget-text-editor\" data-id=\"913ae28\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p data-path-to-node=\"11\">We research cognitive architectures that represent a symbiosis of Artificial Intelligence, Cognitive Science, and sophisticated System Engineering, in order to design powerful and reliable reasoning architectures for AI systems.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-3d5bc4ac e-con-full e-flex e-con e-child\" data-id=\"3d5bc4ac\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-593368c elementor-widget elementor-widget-heading\" data-id=\"593368c\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">Machine-Level<br>Meta-Cognition<\/h4>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-43698f4b elementor-widget elementor-widget-text-editor\" data-id=\"43698f4b\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p data-path-to-node=\"14\">We research how AI models can reflect on their own reasoning process and autonomously optimize it within human-defined boundaries. This creates resource efficiency and expanded capabilities for our CCMs.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-510dd1f8 e-con-full e-flex e-con e-child\" data-id=\"510dd1f8\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-8c0c4f6 elementor-widget elementor-widget-heading\" data-id=\"8c0c4f6\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">AI-Safety &amp;<br>Alignment<\/h4>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c810f79 elementor-widget elementor-widget-text-editor\" data-id=\"c810f79\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p data-path-to-node=\"17\">Powerful AI systems require special attention regarding all safety-relevant aspects. We develop and research architecturally embedded safeguarding and control mechanisms that are insurmountable for AI systems. <b>In our cognitive architectures, safety is not a feature\u2014but a design principle.<\/b><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-2fabb646 e-con-full e-flex e-con e-child\" data-id=\"2fabb646\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-638136ac elementor-widget elementor-widget-heading\" data-id=\"638136ac\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h6 class=\"elementor-heading-title elementor-size-default\">We share details regarding all topic areas within the framework of NDA-protected collaborations.<\/h6>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-29253165 elementor-hidden-widescreen elementor-hidden-desktop elementor-hidden-laptop elementor-hidden-tablet elementor-hidden-mobile e-flex e-con-boxed e-con e-parent\" data-id=\"29253165\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-69d461bf e-con-full e-flex e-con e-child\" data-id=\"69d461bf\" data-element_type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-c93ea32 e-con-full e-flex e-con e-child\" data-id=\"c93ea32\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-3d8ab9b0 elementor-widget elementor-widget-heading\" data-id=\"3d8ab9b0\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Werde <span style=\"color: #f4ff76;\">Teil<\/span> unserer Forschung<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6d1b1f69 elementor-widget elementor-widget-text-editor\" data-id=\"6d1b1f69\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-3a07188a e-con-full e-flex e-con e-child\" data-id=\"3a07188a\" data-element_type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-664cbc62 e-con-full e-flex e-con e-child\" data-id=\"664cbc62\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-4a1f5a87 elementor-widget elementor-widget-text-editor\" data-id=\"4a1f5a87\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-466d65a3 e-con-full e-flex e-con e-child\" data-id=\"466d65a3\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-4186656b elementor-button-align-stretch elementor-widget elementor-widget-form\" data-id=\"4186656b\" data-element_type=\"widget\" data-settings=\"{&quot;step_next_label&quot;:&quot;N\\u00e4chster&quot;,&quot;step_previous_label&quot;:&quot;Voriger&quot;,&quot;button_width&quot;:&quot;100&quot;,&quot;step_type&quot;:&quot;number_text&quot;,&quot;step_icon_shape&quot;:&quot;circle&quot;}\" data-widget_type=\"form.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<form class=\"elementor-form\" method=\"post\" name=\"Neues Formular\">\n\t\t\t<input type=\"hidden\" name=\"post_id\" value=\"33866\"\/>\n\t\t\t<input 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elementor-field-required\">\n\t\t\t\t\t\t\t\t\t\t\t\t<label for=\"form-field-email\" class=\"elementor-field-label\">\n\t\t\t\t\t\t\t\tE-Mail\t\t\t\t\t\t\t<\/label>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<input size=\"1\" type=\"email\" name=\"form_fields[email]\" id=\"form-field-email\" class=\"elementor-field elementor-size-sm  elementor-field-textual\" placeholder=\"E-Mail\" required=\"required\">\n\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<div class=\"elementor-field-type-textarea elementor-field-group elementor-column elementor-field-group-message elementor-col-100\">\n\t\t\t\t\t\t\t\t\t\t\t\t<label for=\"form-field-message\" class=\"elementor-field-label\">\n\t\t\t\t\t\t\t\tNachricht\t\t\t\t\t\t\t<\/label>\n\t\t\t\t\t\t<textarea class=\"elementor-field-textual elementor-field  elementor-size-sm\" name=\"form_fields[message]\" id=\"form-field-message\" rows=\"4\" placeholder=\"Nachricht\"><\/textarea>\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<div class=\"elementor-field-group elementor-column elementor-field-type-submit elementor-col-100 e-form__buttons\">\n\t\t\t\t\t<button class=\"elementor-button elementor-size-sm\" type=\"submit\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Senden<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/button>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t<\/form>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-4c295b7e elementor-hidden-widescreen elementor-hidden-desktop elementor-hidden-laptop elementor-hidden-tablet elementor-hidden-mobile e-flex e-con-boxed e-con e-child\" data-id=\"4c295b7e\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-6df12ee5 e-con-full e-flex e-con e-child\" data-id=\"6df12ee5\" data-element_type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-d00e825 e-con-full e-flex e-con e-child\" data-id=\"d00e825\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-51b99d4a elementor-widget__width-initial elementor-widget elementor-widget-heading\" data-id=\"51b99d4a\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\"><span style=\"color: #f4ff76\">Basis-Komponenten<\/span> f\u00fcr Kognitive Modelle:<br>\nunser Fundament f\u00fcr starke, kontrollierbare KI<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-2264ab9e e-con-full elementor-hidden-widescreen elementor-hidden-desktop elementor-hidden-laptop e-flex e-con e-child\" data-id=\"2264ab9e\" data-element_type=\"container\">\n\t\t<div 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14.9997C4.00429 12.3419 4.89018 9.7607 6.51886 7.66043C8.14754 5.56017 10.427 4.05957 13 3.39376L12.4207 0.449707C9.16594 1.25183 6.27325 3.12016 4.20351 5.75702C2.13376 8.39388 1.00603 11.6476 0.999995 14.9997C0.898163 17.1789 1.31562 19.3512 2.21796 21.3374C3.12031 23.3237 4.48171 25.0671 6.18999 26.424C7.70755 27.8259 8.5 28.622 8.5 29.9997H11.5C11.5 27.2403 9.83445 25.701 8.22269 24.2115L8.22174 24.2106ZM23.7666 24.2139C24.8568 23.288 25.803 22.2048 26.5739 21L29.3557 22.1718C28.4201 23.779 27.2188 25.2159 25.8028 26.4214C24.2896 27.825 23.5 28.6209 23.5 30H20.5C20.5 27.2416 22.1604 25.7022 23.7666 24.2139Z\" fill=\"#FFFDFB\"><\/path><\/svg>\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-17f246ee e-con-full e-flex e-con e-child\" data-id=\"17f246ee\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-6b7f8f elementor-widget__width-initial elementor-widget elementor-widget-heading\" data-id=\"6b7f8f\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Kognitive Intelligenz, als System<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-634eba8a elementor-widget__width-inherit elementor-widget elementor-widget-heading\" data-id=\"634eba8a\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Cognitive Control Unit: das Denk-Zentrum<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-71e3435d elementor-widget__width-inherit elementor-widget elementor-widget-text-editor\" data-id=\"71e3435d\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-539fd5aa elementor-widget__width-inherit elementor-widget elementor-widget-text-editor\" data-id=\"539fd5aa\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\"><div class=\"elementor-widget-container\"><p>Um Denk- und Handlungs-KI strategisch kontrollierbar zu machen, haben wir ihre grundlegende Architektur neu gedacht \u2014 nicht in Modellen, sondern in\u00a0<strong>Systemen<\/strong>.\u00a0<span data-teams=\"true\">Dazu stellen wir Sprachmodellen mit unserer eigenst\u00e4ndigen\u00a0<strong>Cognitive Control Unit<\/strong>\u00a0ein Denk-Zentrum an die Seite, welches die Hypothesen des Sprachmodells zerlegt, analysiert und \u00fcberpr\u00fcft. Im Ergebnis entstehen logisch nachvollziehbare und begr\u00fcndete Denkpfade.<\/span><\/p><\/div><\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-49a5931b e-con-full e-flex e-con e-child\" data-id=\"49a5931b\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-4b2a07da elementor-view-default elementor-widget elementor-widget-icon\" data-id=\"4b2a07da\" data-element_type=\"widget\" data-widget_type=\"icon.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-icon-wrapper\">\n\t\t\t<div class=\"elementor-icon\">\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"48\" height=\"48\" viewBox=\"0 0 48 48\" fill=\"none\"><path fill-rule=\"evenodd\" clip-rule=\"evenodd\" d=\"M40.5 3C39.3069 3.00131 38.1631 3.47584 37.3195 4.31947C36.4758 5.1631 36.0013 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38.1203C25.4421 38.6827 26.2046 38.9991 27 39H30V42H27C26.1451 41.9971 25.3009 41.8105 24.5245 41.4528C23.7481 41.095 23.0576 40.5745 22.5 39.9266C21.9424 40.5745 21.2519 41.095 20.4755 41.4528C19.6991 41.8105 18.8549 41.9971 18 42H16.5C12.9208 41.996 9.48932 40.5724 6.95844 38.0416C4.42756 35.5107 3.00397 32.0792 3 28.5V19.5C3.00397 15.9208 4.42756 12.4893 6.95844 9.95844C9.48932 7.42756 12.9208 6.00397 16.5 6H18C18.8549 6.00287 19.6991 6.18951 20.4755 6.54725C21.2519 6.905 21.9424 7.42549 22.5 8.07345C23.0576 7.42549 23.7481 6.905 24.5245 6.54725C25.3009 6.18951 26.1451 6.00287 27 6H30V9ZM16.5 39H18C18.7954 38.9991 19.5579 38.6827 20.1203 38.1203C20.6827 37.5579 20.9991 36.7954 21 36V30H18C17.6023 30.0004 17.221 30.1585 16.9397 30.4397C16.6585 30.721 16.5004 31.1023 16.5 31.5V34.5H13.5V31.5C13.5013 30.3069 13.9758 29.1631 14.8195 28.3195C15.6631 27.4758 16.8069 27.0013 18 27H21V21H18V18H21V12C20.9991 11.2046 20.6827 10.4421 20.1203 9.87969C19.5579 9.31728 18.7954 9.00091 18 9H16.5C13.9776 9.00442 11.541 9.91609 9.63528 11.5685C7.72951 13.2209 6.48178 15.5037 6.12 18H10.5C10.8977 17.9996 11.279 17.8415 11.5603 17.5603C11.8415 17.279 11.9996 16.8977 12 16.5V13.5H15V16.5C14.9987 17.6931 14.5242 18.8369 13.6805 19.6805C12.8369 20.5242 11.6931 20.9987 10.5 21H6V27H9V30H6.12C6.48178 32.4963 7.72951 34.7791 9.63528 36.4315C11.541 38.0839 13.9776 38.9956 16.5 39Z\" fill=\"#FFFDFB\"><\/path><\/svg>\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-39b54a5a e-con-full e-flex e-con e-child\" data-id=\"39b54a5a\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-260a333d elementor-widget__width-initial elementor-widget elementor-widget-heading\" data-id=\"260a333d\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Long- &amp; Short-Term Memory<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1f9d41e4 elementor-widget__width-inherit elementor-widget elementor-widget-heading\" data-id=\"1f9d41e4\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Cognitive Memory: das Ged\u00e4chtnis<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-2eacb89d elementor-widget__width-inherit elementor-widget elementor-widget-text-editor\" data-id=\"2eacb89d\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-68f354d8 elementor-widget__width-inherit elementor-widget elementor-widget-text-editor\" data-id=\"68f354d8\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\"><div class=\"elementor-widget-container\"><p><span data-teams=\"true\">Cognitive Memory ist der dynamische Arbeitsspeicher unserer Thinking- \/ Conclusion-Machines, der alle Denk-Artefakte zwischenspeichert und der Cognitive Control Unit zur Verf\u00fcgung stellt. Dieser wird in Lang- &amp; Kurzzeitspeicher unterteilt, der den zu verarbeitenden Kontext aktiv steuert, um die entsprechende Artefakte zu generieren und zu validieren. Diese Steuerung erm\u00f6glicht es, gezielt und strukturiert Zusammenh\u00e4nge zu ziehen und zu erschlie\u00dfen.<\/span><\/p><\/div><\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-93e8d6c e-con-full e-flex e-con e-child\" data-id=\"93e8d6c\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-619e777a elementor-view-default elementor-widget elementor-widget-icon\" data-id=\"619e777a\" data-element_type=\"widget\" data-widget_type=\"icon.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-icon-wrapper\">\n\t\t\t<div class=\"elementor-icon\">\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"48\" height=\"48\" viewBox=\"0 0 48 48\" fill=\"none\"><path fill-rule=\"evenodd\" clip-rule=\"evenodd\" d=\"M7.16658 15.4888C8.15328 16.1481 9.31332 16.5 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43.1481 7.16658 42.4888C6.17989 41.8295 5.41085 40.8925 4.95673 39.7961C4.5026 38.6997 4.38378 37.4933 4.61529 36.3295C4.8468 35.1656 5.41825 34.0965 6.25736 33.2574C7.09648 32.4182 8.16558 31.8468 9.32946 31.6153C10.4933 31.3838 11.6997 31.5026 12.7961 31.9567C13.8925 32.4109 14.8295 33.1799 15.4888 34.1666C16.1481 35.1533 16.5 36.3133 16.5 37.5C16.5 39.0913 15.8679 40.6174 14.7426 41.7426C13.6174 42.8679 12.0913 43.5 10.5 43.5ZM10.5 34.5C9.90666 34.5 9.32664 34.6759 8.83329 35.0056C8.33994 35.3352 7.95543 35.8038 7.72836 36.352C7.5013 36.9001 7.44189 37.5033 7.55765 38.0853C7.6734 38.6672 7.95912 39.2018 8.37868 39.6213C8.79824 40.0409 9.33279 40.3266 9.91473 40.4424C10.4967 40.5581 11.0999 40.4987 11.6481 40.2716C12.1962 40.0446 12.6648 39.6601 12.9944 39.1667C13.3241 38.6734 13.5 38.0933 13.5 37.5C13.5 36.7044 13.1839 35.9413 12.6213 35.3787C12.0587 34.8161 11.2957 34.5 10.5 34.5ZM34.1666 28.9888C35.1533 29.6481 36.3133 30 37.5 30C39.0913 30 40.6174 29.3679 41.7426 28.2426C42.8679 27.1174 43.5 25.5913 43.5 24C43.5 22.8133 43.1481 21.6533 42.4888 20.6666C41.8295 19.6799 40.8925 18.9109 39.7961 18.4567C38.6997 18.0026 37.4933 17.8838 36.3295 18.1153C35.1656 18.3468 34.0965 18.9182 33.2574 19.7574C32.4182 20.5965 31.8468 21.6656 31.6153 22.8295C31.3838 23.9933 31.5026 25.1997 31.9567 26.2961C32.4109 27.3925 33.1799 28.3295 34.1666 28.9888ZM35.8333 21.5056C36.3266 21.176 36.9067 21 37.5 21C38.2957 21 39.0587 21.3161 39.6213 21.8787C40.1839 22.4413 40.5 23.2044 40.5 24C40.5 24.5933 40.3241 25.1734 39.9944 25.6667C39.6648 26.1601 39.1962 26.5446 38.6481 26.7716C38.0999 26.9987 37.4967 27.0581 36.9147 26.9424C36.3328 26.8266 35.7982 26.5409 35.3787 26.1213C34.9591 25.7018 34.6734 25.1672 34.5576 24.5853C34.4419 24.0033 34.5013 23.4001 34.7284 22.852C34.9554 22.3038 35.3399 21.8352 35.8333 21.5056Z\" fill=\"#51556D\"><\/path><\/svg>\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-633bcbea e-con-full e-flex e-con e-child\" data-id=\"633bcbea\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-282ddb87 elementor-widget__width-initial elementor-widget elementor-widget-heading\" data-id=\"282ddb87\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Low-Profile LLM Inference<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-11f1f161 elementor-widget__width-inherit elementor-widget elementor-widget-heading\" data-id=\"11f1f161\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Kognitive Intelligenz f\u00fcr jede Umgebung<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-231d12ff elementor-widget__width-inherit elementor-widget elementor-widget-text-editor\" data-id=\"231d12ff\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-8f23559 elementor-widget__width-inherit elementor-widget elementor-widget-text-editor\" data-id=\"8f23559\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\"><div class=\"elementor-widget-container\"><p>Wahre Souver\u00e4nit\u00e4t bedeutet, starke KI dort nutzen zu k\u00f6nnen, wo sie gebraucht wird \u2013 auch auf ressourcenschonender Low-End-Hardware. Wir forschen an Methoden, um anspruchsvolle KI-Modelle auf solchen \u201eLow-Profile\u201c-Umgebungen hocheffizient zu betreiben. Dies maximiert nicht nur Ihre Unabh\u00e4ngigkeit, sondern erm\u00f6glicht auch v\u00f6llig neue Anwendungsf\u00e4lle direkt am Ort des Geschehens.<\/p><\/div><\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-54f06c4e e-con-full elementor-hidden-mobile elementor-hidden-widescreen elementor-hidden-desktop elementor-hidden-laptop elementor-hidden-tablet e-flex e-con e-child\" data-id=\"54f06c4e\" data-element_type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-68402303 e-con-full e-flex e-con e-child\" data-id=\"68402303\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-54b7dc96 elementor-view-default elementor-widget elementor-widget-icon\" data-id=\"54b7dc96\" data-element_type=\"widget\" data-widget_type=\"icon.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-icon-wrapper\">\n\t\t\t<div class=\"elementor-icon\">\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"37\" height=\"42\" viewBox=\"0 0 37 42\" fill=\"none\"><path fill-rule=\"evenodd\" clip-rule=\"evenodd\" d=\"M16 9.0003C15.9975 10.6523 16.4504 12.273 17.309 13.6844C18.1676 15.0958 19.3986 16.2432 20.8668 17.0005C22.335 17.7578 23.9835 18.0957 25.6313 17.9771C27.279 17.8585 28.8622 17.288 30.2068 16.3283L34.879 21.0003L37 18.8793L32.3275 14.2071C33.1478 13.0531 33.6841 11.7217 33.8928 10.3214C34.1014 8.92098 33.9766 7.49112 33.5285 6.14808C33.0803 4.80505 32.3214 3.58676 31.3136 2.59233C30.3058 1.59789 29.0775 0.855396 27.7285 0.425231C26.3796 -0.00493395 24.9482 -0.110617 23.5508 0.116777C22.1533 0.344171 20.8293 0.89822 19.6863 1.73386C18.5434 2.5695 17.6138 3.66312 16.9733 4.92578C16.3327 6.18843 15.9993 7.58446 16 9.0003ZM19 9.0003C19 7.81361 19.3519 6.65357 20.0112 5.66688C20.6705 4.68018 21.6076 3.91115 22.7039 3.45702C23.8003 3.0029 25.0067 2.88408 26.1706 3.11559C27.3344 3.3471 28.4035 3.91854 29.2426 4.75766C30.0818 5.59677 30.6532 6.66587 30.8847 7.82976C31.1162 8.99364 30.9974 10.2 30.5433 11.2964C30.0892 12.3928 29.3201 13.3298 28.3334 13.9891C27.3467 14.6484 26.1867 15.0003 25 15.0003C23.4093 14.9985 21.8842 14.3658 20.7593 13.241C19.6345 12.1161 19.0018 10.5911 19 9.0003ZM23.5 33H8.5V36H23.5V33ZM11.5 39H20.5V42H11.5V39ZM8.22174 24.2106C6.81695 23.139 5.69716 21.7384 4.96097 20.1322C4.22478 18.526 3.89477 16.7634 4 14.9997C4.00429 12.3419 4.89018 9.7607 6.51886 7.66043C8.14754 5.56017 10.427 4.05957 13 3.39376L12.4207 0.449707C9.16594 1.25183 6.27325 3.12016 4.20351 5.75702C2.13376 8.39388 1.00603 11.6476 0.999995 14.9997C0.898163 17.1789 1.31562 19.3512 2.21796 21.3374C3.12031 23.3237 4.48171 25.0671 6.18999 26.424C7.70755 27.8259 8.5 28.622 8.5 29.9997H11.5C11.5 27.2403 9.83445 25.701 8.22269 24.2115L8.22174 24.2106ZM23.7666 24.2139C24.8568 23.288 25.803 22.2048 26.5739 21L29.3557 22.1718C28.4201 23.779 27.2188 25.2159 25.8028 26.4214C24.2896 27.825 23.5 28.6209 23.5 30H20.5C20.5 27.2416 22.1604 25.7022 23.7666 24.2139Z\" fill=\"#FFFDFB\"><\/path><\/svg>\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-5a39da13 e-con-full e-flex e-con e-child\" data-id=\"5a39da13\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-4e7bdd8b elementor-widget__width-initial elementor-widget elementor-widget-heading\" data-id=\"4e7bdd8b\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Kognitive System-Architekturen<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-253db792 elementor-widget__width-inherit elementor-widget elementor-widget-heading\" data-id=\"253db792\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Stand-alone Reasoning Engine<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5b2754b7 elementor-widget__width-inherit elementor-widget elementor-widget-text-editor\" data-id=\"5b2754b7\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Um Denk- und Handlungs-KI strategisch kontrollierbar zu machen, haben wir ihre grundlegende Architektur neu gedacht \u2014 nicht in Modellen, sondern in\u00a0<strong>Systemen<\/strong>.\u00a0<span data-teams=\"true\">Dazu stellen wir Sprachmodellen mit unserer eigenst\u00e4ndigen\u00a0<strong>Reasoning Engine<\/strong>\u00a0einen Gegenspieler an die Seite, der die Hypothesen des Sprachmodells zerlegt, analysiert und \u00fcberpr\u00fcft. Im Ergebnis entstehen logisch nachvollziehbare und begr\u00fcndete Schlussfolgerungen, die als Grundlage belastbarer Entscheidungen dienen.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-56acd0b7 elementor-widget__width-initial elementor-align-right elementor-widget elementor-widget-button\" data-id=\"56acd0b7\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/embraceable.ai\/wp-content\/uploads\/2025\/06\/Architekturelle-Innovation-als-Schluessel-zu-leistungsstarken-und-zuverlaessigen-KI-Systemen.pdf\" target=\"_blank\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-icon\">\n\t\t\t\t<i aria-hidden=\"true\" class=\"icon icon-arrow--right\"><\/i>\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Architektur-Paper Lesen<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-3660e4fa e-con-full e-flex e-con e-child\" data-id=\"3660e4fa\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-359a31d elementor-view-default elementor-widget elementor-widget-icon\" data-id=\"359a31d\" data-element_type=\"widget\" data-widget_type=\"icon.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-icon-wrapper\">\n\t\t\t<div class=\"elementor-icon\">\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"48\" height=\"48\" viewBox=\"0 0 48 48\" fill=\"none\"><path fill-rule=\"evenodd\" clip-rule=\"evenodd\" d=\"M40.5 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10.4421 20.1203 9.87969C19.5579 9.31728 18.7954 9.00091 18 9H16.5C13.9776 9.00442 11.541 9.91609 9.63528 11.5685C7.72951 13.2209 6.48178 15.5037 6.12 18H10.5C10.8977 17.9996 11.279 17.8415 11.5603 17.5603C11.8415 17.279 11.9996 16.8977 12 16.5V13.5H15V16.5C14.9987 17.6931 14.5242 18.8369 13.6805 19.6805C12.8369 20.5242 11.6931 20.9987 10.5 21H6V27H9V30H6.12C6.48178 32.4963 7.72951 34.7791 9.63528 36.4315C11.541 38.0839 13.9776 38.9956 16.5 39Z\" fill=\"#FFFDFB\"><\/path><\/svg>\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-7e60d73b e-con-full e-flex e-con e-child\" data-id=\"7e60d73b\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-53c69c73 elementor-widget__width-initial elementor-widget elementor-widget-heading\" data-id=\"53c69c73\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Synthetische Trainings-Daten\n<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5db9932 elementor-widget__width-inherit elementor-widget elementor-widget-heading\" data-id=\"5db9932\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Hochwertige Trainingsdaten\n<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6f70890e elementor-widget__width-inherit elementor-widget elementor-widget-text-editor\" data-id=\"6f70890e\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Die Qualit\u00e4t von Trainings-Daten hat einen ma\u00dfgeblichen Einfluss auf das Verhalten von KI-Systemen. Statt uns auf externe Quellen zu verlassen, erzeugen wir mit unserer Open-Source-Pipeline\u00a0<strong>SynthIOS<\/strong>\u00a0unsere eigenen hochqualitativen Trainingsdaten. So stellen wir sicher, dass die hinterlegten Modelle auf der bestm\u00f6glichen und relevantesten Wissensbasis operieren und frei von unerw\u00fcnschten Verzerrungen sind. Wir entwickeln unsere Daten-Pipelines\u00a0 kontinuierlich weiter.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3d902106 elementor-widget__width-initial elementor-align-right elementor-widget elementor-widget-button\" data-id=\"3d902106\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/github.com\/embraceableAI\/SynthIOS\" target=\"_blank\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-icon\">\n\t\t\t\t<i aria-hidden=\"true\" class=\"icon icon-arrow--right\"><\/i>\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">auf github entdecken<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-86faf78 e-con-full elementor-hidden-mobile elementor-hidden-widescreen elementor-hidden-desktop elementor-hidden-laptop elementor-hidden-tablet e-flex e-con e-child\" data-id=\"86faf78\" data-element_type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-72704474 e-con-full e-flex e-con e-child\" data-id=\"72704474\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-24ac891b elementor-view-default elementor-widget elementor-widget-icon\" data-id=\"24ac891b\" data-element_type=\"widget\" data-widget_type=\"icon.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-icon-wrapper\">\n\t\t\t<div class=\"elementor-icon\">\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"48\" height=\"48\" viewBox=\"0 0 48 48\" fill=\"none\"><path fill-rule=\"evenodd\" clip-rule=\"evenodd\" d=\"M7.16658 15.4888C8.15328 16.1481 9.31332 16.5 10.5 16.5C12.0913 16.5 13.6174 15.8679 14.7426 14.7426C15.8679 13.6174 16.5 12.0913 16.5 10.5C16.5 9.31332 16.1481 8.15328 15.4888 7.16658C14.8295 6.17989 13.8925 5.41085 12.7961 4.95673C11.6997 4.5026 10.4933 4.38378 9.32946 4.61529C8.16558 4.8468 7.09648 5.41825 6.25736 6.25736C5.41825 7.09648 4.8468 8.16558 4.61529 9.32946C4.38378 10.4933 4.5026 11.6997 4.95673 12.7961C5.41085 13.8925 6.17989 14.8295 7.16658 15.4888ZM8.83329 8.00559C9.32664 7.67595 9.90666 7.5 10.5 7.5C11.2957 7.5 12.0587 7.81607 12.6213 8.37868C13.1839 8.94129 13.5 9.70435 13.5 10.5C13.5 11.0933 13.3241 11.6734 12.9944 12.1667C12.6648 12.6601 12.1962 13.0446 11.6481 13.2716C11.0999 13.4987 10.4967 13.5581 9.91473 13.4424C9.33279 13.3266 8.79824 13.0409 8.37868 12.6213C7.95912 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23.4001 34.7284 22.852C34.9554 22.3038 35.3399 21.8352 35.8333 21.5056Z\" fill=\"#51556D\"><\/path><\/svg>\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-67c8a095 e-con-full e-flex e-con e-child\" data-id=\"67c8a095\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-1d48ed2d elementor-widget__width-initial elementor-widget elementor-widget-heading\" data-id=\"1d48ed2d\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">LLM Finetuning\n<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-127db47 elementor-widget__width-inherit elementor-widget elementor-widget-heading\" data-id=\"127db47\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Effizientes Finetuning mit LoRA<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-59a16dde elementor-widget__width-inherit elementor-widget elementor-widget-text-editor\" data-id=\"59a16dde\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\tEine kontrollierbare Architektur verdient eine pr\u00e4zise Sprache. Damit unsere Systeme nicht nur logisch korrekt, sondern auch in Ihrer spezifischen Dom\u00e4ne exzellent kommunizieren, passen wir Open-Weight-Sprachmodelle mit\u00a0<strong>LoRA (Low-Rank Adaptation)<\/strong>\u00a0an. Diese effiziente Methode erlaubt es uns, die sprachlichen F\u00e4higkeiten unserer Systeme gezielt zu verfeinern \u2013 schneller, ressourcenschonender und exakt auf Ihre Dom\u00e4ne &amp; Bed\u00fcrfnisse zugeschnitten.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3df5c5e4 elementor-widget__width-initial elementor-align-right elementor-widget elementor-widget-button\" data-id=\"3df5c5e4\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/huggingface.co\/embraceableAI\" target=\"_blank\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-icon\">\n\t\t\t\t<i aria-hidden=\"true\" class=\"icon icon-arrow--right\"><\/i>\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Auf Huggingface Entdecken<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-bf7c053 e-con-full elementor-hidden-mobile elementor-hidden-tablet e-flex e-con e-child\" data-id=\"bf7c053\" data-element_type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-19868e93 e-con-full e-flex e-con e-child\" data-id=\"19868e93\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-5427ea3b elementor-view-default elementor-widget elementor-widget-icon\" data-id=\"5427ea3b\" data-element_type=\"widget\" data-widget_type=\"icon.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-icon-wrapper\">\n\t\t\t<div class=\"elementor-icon\">\n\t\t\t<svg 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25.1672 34.5576 24.5853C34.4419 24.0033 34.5013 23.4001 34.7284 22.852C34.9554 22.3038 35.3399 21.8352 35.8333 21.5056Z\" fill=\"#51556D\"><\/path><\/svg>\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-16666fd5 e-con-full elementor-hidden-mobile elementor-hidden-tablet e-flex e-con e-child\" data-id=\"16666fd5\" data-element_type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-3627b7ae e-con-full e-flex e-con e-child\" data-id=\"3627b7ae\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-7238435d elementor-widget__width-initial elementor-widget elementor-widget-heading\" data-id=\"7238435d\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Kognitive Intelligenz, als System<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1e0a9db1 elementor-widget__width-inherit elementor-widget elementor-widget-heading\" data-id=\"1e0a9db1\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Cognitive Control Unit: das Denk-Zentrum<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-65c47095 elementor-widget__width-inherit elementor-widget elementor-widget-text-editor\" data-id=\"65c47095\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Um Kognitive Modelle strategisch kontrollierbar zu machen, haben wir ihre grundlegende Architektur neu gedacht \u2014 nicht rein auf Basis von Transformen, sondern in <strong>Modell-Systemen<\/strong>.\u00a0<span data-teams=\"true\">Dazu stellen wir Sprachmodellen mit unserer eigenst\u00e4ndigen\u00a0<strong>Cognitive Control Unit<\/strong>\u00a0ein Denk-Zentrum an die Seite, welches die Hypothesen des Sprachmodells zerlegt, analysiert und \u00fcberpr\u00fcft. Im Ergebnis entstehen logisch nachvollziehbare und begr\u00fcndete Denkpfade.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-38843139 e-con-full e-flex e-con e-child\" data-id=\"38843139\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-63e208d2 elementor-widget__width-initial elementor-widget elementor-widget-heading\" data-id=\"63e208d2\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Long- &amp; Short-Term Memory<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5560808b elementor-widget__width-inherit elementor-widget elementor-widget-heading\" data-id=\"5560808b\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Cognitive Memory: das Ged\u00e4chtnis<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-742408d7 elementor-widget__width-inherit elementor-widget elementor-widget-text-editor\" data-id=\"742408d7\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><span data-teams=\"true\">Cognitive Memory ist der dynamische Arbeitsspeicher unserer Conclusion Models , der alle Cognitive Artifacts zwischenspeichert und der Cognitive Control Unit zur Verf\u00fcgung stellt. Dieser wird in Lang- &amp; Kurzzeitspeicher unterteilt, der den zu verarbeitenden Kontext aktiv steuert, um die entsprechende Artefakte zu generieren und zu validieren. Diese Steuerung erm\u00f6glicht es, gezielt und strukturiert Zusammenh\u00e4nge zu ziehen und zu erschlie\u00dfen.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-e84985b e-con-full e-flex e-con e-child\" data-id=\"e84985b\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-5f5478f8 elementor-widget__width-initial elementor-widget elementor-widget-heading\" data-id=\"5f5478f8\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Funktionale Typisierung<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-797509cf elementor-widget__width-inherit elementor-widget elementor-widget-heading\" data-id=\"797509cf\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Cognitive Artifacts: die Teil-Gedanken<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-de560fd elementor-widget__width-inherit elementor-widget elementor-widget-text-editor\" data-id=\"de560fd\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Wahre Souver\u00e4nit\u00e4t bedeutet, starke KI dort nutzen zu k\u00f6nnen, wo sie gebraucht wird \u2013 auch auf ressourcenschonender Low-End-Hardware. Wir forschen an Methoden, um anspruchsvolle KI-Modelle auf solchen \u201eLow-Profile\u201c-Umgebungen hocheffizient zu betreiben. Dies maximiert nicht nur Ihre Unabh\u00e4ngigkeit, sondern erm\u00f6glicht auch v\u00f6llig neue Anwendungsf\u00e4lle direkt am Ort des Geschehens.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-1e207fc4 e-con-full e-flex e-con e-child\" data-id=\"1e207fc4\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-58d145ca elementor-widget elementor-widget-spacer\" data-id=\"58d145ca\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-2db8b4f4 elementor-hidden-widescreen elementor-hidden-desktop elementor-hidden-laptop elementor-hidden-tablet elementor-hidden-mobile e-flex e-con-boxed e-con e-child\" data-id=\"2db8b4f4\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-15500d98 e-con-full e-flex e-con e-child\" data-id=\"15500d98\" data-element_type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-780e3590 e-con-full e-flex e-con e-child\" data-id=\"780e3590\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-35fcd1cf elementor-widget__width-initial elementor-widget elementor-widget-heading\" data-id=\"35fcd1cf\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Unsere <span style=\"color: #f4ff76\">Research-Schwerpunkte<\/span>:<br>\ndie n\u00e4chste Generation leistungsstarker Kognitiver Modelle<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-39d85f2a elementor-widget__width-initial elementor-widget-mobile__width-inherit elementor-widget elementor-widget-text-editor\" data-id=\"39d85f2a\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Um unsere Mission weiter voranzutreiben, arbeiten wir gezielt an der Optimierung der zentralen Stellschrauben. Damit verschieben wir die Grenzen des Machbaren, ohne dabei die Sicherheit und Zuverl\u00e4ssigkeit aus den Augen zu verlieren. Bei unserer Tochtergesellschaft <a href=\"https:\/\/acsl.ai\">ACSL<\/a> betreiben wir Grundlagenforschung, um die heutigen modellzentrierten KI-Architekturen zu architektonisch fundierten Kognitiven Modellen weiterzuentwickeln. Dies basiert auf unserer innovativen Leibniz-von-Neumann-Architektur \u2013 einem spezifischen Entwurf f\u00fcr Verbundsystemstrukturen, der die St\u00e4rken der Sprachmodell-Technologie aufgreift und zugleich deren strukturelle Grenzen in Bezug auf Sicherheit, Zuverl\u00e4ssigkeit und menschliche Kontrolle \u00fcberwindet.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-63e2d464 e-con-full elementor-hidden-widescreen elementor-hidden-desktop elementor-hidden-tablet elementor-hidden-laptop e-flex e-con e-child\" data-id=\"63e2d464\" data-element_type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-22024134 e-con-full e-flex e-con e-child\" data-id=\"22024134\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;gradient&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-53dba10f elementor-view-default elementor-widget elementor-widget-icon\" data-id=\"53dba10f\" data-element_type=\"widget\" data-widget_type=\"icon.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-icon-wrapper\">\n\t\t\t<div class=\"elementor-icon\">\n\t\t\t<i aria-hidden=\"true\" class=\"icon icon-rd-party-connected\"><\/i>\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-5dc2b6a1 e-con-full e-flex e-con e-child\" data-id=\"5dc2b6a1\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-3d1216b elementor-widget__width-initial elementor-widget elementor-widget-heading\" data-id=\"3d1216b\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Advanced Cognitive Systems Lab\n<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-32e2355e elementor-widget__width-inherit elementor-widget elementor-widget-heading\" data-id=\"32e2355e\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Kognitive Architekturen weiterdenken\n<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-504fc066 elementor-widget__width-inherit elementor-widget elementor-widget-text-editor\" data-id=\"504fc066\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Die Leistungsf\u00e4higkeit von kognitiver Intelligenz wird u.a. durch die Qualit\u00e4t der hinterlegten\u00a0<strong>Cognitive Schemata<\/strong>\u00a0bestimmt. Das Ziel der\u00a0<a href=\"https:\/\/acsl.ai\/\" target=\"_blank\" rel=\"noopener\">ACSL<\/a>\u00a0ist es, diese Schemata kontinuierlich zu verbessern und auch f\u00fcr komplexeste Denk-Pfade nutzbar zu machen. Wir praktizieren experimentelle Forschung, wie wir diese Steigerung der Intelligenz bei gleichzeitiger Beibehaltung von Sicherheit und Kontrolle als durchg\u00e4ngigem Grund-Prinzip erreichen k\u00f6nnen. Die Ergebnisse werden \u00f6ffentlich publiziert und f\u00fcr die Nutzbarmachung in der Wirtschaft dokumentiert und aufbereitet.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e2e4f1b elementor-align-justify elementor-widget__width-initial elementor-widget elementor-widget-button\" data-id=\"e2e4f1b\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"http:\/\/acsl.ai\/wp-content\/uploads\/2025\/08\/LVNA-Paper-Aug15-2025.pdf\" target=\"_blank\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Jetzt Paper lesen<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-7350269a e-con-full e-flex e-con e-child\" data-id=\"7350269a\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-2e7bfc76 elementor-view-default elementor-widget elementor-widget-icon\" data-id=\"2e7bfc76\" data-element_type=\"widget\" data-widget_type=\"icon.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-icon-wrapper\">\n\t\t\t<div class=\"elementor-icon\">\n\t\t\t<i aria-hidden=\"true\" class=\"icon icon-D-software\"><\/i>\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-56ce4dd6 e-con-full e-flex e-con e-child\" data-id=\"56ce4dd6\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-1fcc38c8 elementor-widget__width-initial elementor-widget elementor-widget-heading\" data-id=\"1fcc38c8\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Synthetische Trainings-Daten<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3c806e1 elementor-widget__width-inherit elementor-widget elementor-widget-heading\" data-id=\"3c806e1\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">SynthIOS: Hochwertige Trainingsdaten<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4ab07a94 elementor-widget__width-inherit elementor-widget elementor-widget-text-editor\" data-id=\"4ab07a94\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Die Qualit\u00e4t von Trainings-Daten hat einen ma\u00dfgeblichen Einfluss auf das Verhalten von KI-Systemen. Statt uns auf externe Quellen zu verlassen, erzeugen wir mit unserer Open-Source-Pipeline\u00a0<strong>SynthIOS<\/strong>\u00a0unsere eigenen hochqualitativen Trainingsdaten. So stellen wir sicher, dass die hinterlegten Modelle auf der bestm\u00f6glichen und relevantesten Wissensbasis operieren und frei von unerw\u00fcnschten Verzerrungen sind. Wir entwickeln unsere Daten-Pipelines\u00a0 kontinuierlich weiter.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3c2e3bd6 elementor-align-justify elementor-widget__width-initial elementor-widget elementor-widget-button\" data-id=\"3c2e3bd6\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/github.com\/embraceableAI\/SynthIOS\" target=\"_blank\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Auf GitHub entdecken<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-572c3ab7 e-con-full e-flex e-con e-child\" data-id=\"572c3ab7\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;gradient&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-58b8e5f1 elementor-view-default elementor-widget elementor-widget-icon\" data-id=\"58b8e5f1\" data-element_type=\"widget\" data-widget_type=\"icon.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-icon-wrapper\">\n\t\t\t<div class=\"elementor-icon\">\n\t\t\t<i aria-hidden=\"true\" class=\"icon icon-drag--horizontal\"><\/i>\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-335f0e71 e-con-full e-flex e-con e-child\" data-id=\"335f0e71\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-1cead5df elementor-widget__width-initial elementor-widget elementor-widget-heading\" data-id=\"1cead5df\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">LLM Finetuning &amp; Scale-Ups<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3f4d0092 elementor-widget__width-inherit elementor-widget elementor-widget-heading\" data-id=\"3f4d0092\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Finetuning mit Kontext-Skalierung<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-64e73661 elementor-widget__width-inherit elementor-widget elementor-widget-text-editor\" data-id=\"64e73661\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Eine kontrollierbare Architektur verdient eine pr\u00e4zise Sprache. Damit unsere Systeme nicht nur logisch korrekt, sondern auch in Ihrer spezifischen Dom\u00e4ne exzellent kommunizieren, passen wir Open-Weight-Sprachmodelle mit\u00a0<strong>LoRA (Low-Rank Adaptation)<\/strong>\u00a0an. Au\u00dferdem forschen wir an innovativen Methoden, das Kontextfenster signifikant (Faktor x2, x4 oder gar x8) zu erweitern. Damit erweitern wir gezielt die F\u00e4higkeiten von\u00a0<b>EU AI Act konformen\u00a0<\/b>Open-Source Modellen, um diese f\u00fcr den Business-Einsatz verwend- &amp; anpassbar zu machen.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-10d8c548 elementor-align-justify elementor-widget__width-initial elementor-widget elementor-widget-button\" data-id=\"10d8c548\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/huggingface.co\/embraceableAI\" target=\"_blank\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Auf HuggingFace entdecken<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-7b0281fa e-con-full elementor-hidden-mobile elementor-hidden-widescreen elementor-hidden-desktop elementor-hidden-laptop e-flex e-con e-child\" data-id=\"7b0281fa\" data-element_type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-50618092 e-con-full e-flex e-con e-child\" data-id=\"50618092\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;gradient&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-1dd99e1d elementor-view-default elementor-widget elementor-widget-icon\" data-id=\"1dd99e1d\" data-element_type=\"widget\" data-widget_type=\"icon.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-icon-wrapper\">\n\t\t\t<div class=\"elementor-icon\">\n\t\t\t<i aria-hidden=\"true\" class=\"icon icon-rd-party-connected\"><\/i>\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-d3fd3eb e-con-full e-flex e-con e-child\" data-id=\"d3fd3eb\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-7d57c170 elementor-widget__width-initial elementor-widget elementor-widget-heading\" data-id=\"7d57c170\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Cognitive Architecture Lab\n<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-365e6917 elementor-widget__width-inherit elementor-widget elementor-widget-heading\" data-id=\"365e6917\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Kognitive Architekturen weiterdenken\n<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-78020716 elementor-widget__width-inherit elementor-widget elementor-widget-text-editor\" data-id=\"78020716\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\tDie Leistungsf\u00e4higkeit unserer Reasoning Engine wird durch die Qualit\u00e4t ihrer Reasoning-Schemata bestimmt. Unser Ziel ist es, diese Schemata kontinuierlich zu verbessern und f\u00fcr komplexeste logische Herausforderungen zu optimieren. Wir forschen daran, wie wir noch anspruchsvollere Denkprozesse abbilden und die kognitive Leistung unserer Systeme konsequent zu steigern.\n\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-54925e9d elementor-align-justify elementor-widget__width-initial elementor-widget elementor-widget-button\" data-id=\"54925e9d\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"http:\/\/acsl.ai\/wp-content\/uploads\/2025\/08\/LVNA-Paper-Aug15-2025.pdf\" target=\"_blank\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Architektur-Paper lesen<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-4f92beee e-con-full e-flex e-con e-child\" data-id=\"4f92beee\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-6f6659ca elementor-view-default elementor-widget elementor-widget-icon\" data-id=\"6f6659ca\" data-element_type=\"widget\" data-widget_type=\"icon.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-icon-wrapper\">\n\t\t\t<div class=\"elementor-icon\">\n\t\t\t<i aria-hidden=\"true\" class=\"icon icon-D-software\"><\/i>\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-58100085 e-con-full e-flex e-con e-child\" data-id=\"58100085\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-1f795bb0 elementor-widget__width-initial elementor-widget elementor-widget-heading\" data-id=\"1f795bb0\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Synthetische Trainings-Daten<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-75a15b24 elementor-widget__width-inherit elementor-widget elementor-widget-heading\" data-id=\"75a15b24\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">SynthIOS: Hochwertige Trainingsdaten<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-69fce58f elementor-widget__width-inherit elementor-widget elementor-widget-text-editor\" data-id=\"69fce58f\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Die Qualit\u00e4t von Trainings-Daten hat einen ma\u00dfgeblichen Einfluss auf das Verhalten von KI-Systemen. Statt uns auf externe Quellen zu verlassen, erzeugen wir mit unserer Open-Source-Pipeline\u00a0<strong>SynthIOS<\/strong>\u00a0unsere eigenen hochqualitativen Trainingsdaten. So stellen wir sicher, dass die hinterlegten Modelle auf der bestm\u00f6glichen und relevantesten Wissensbasis operieren und frei von unerw\u00fcnschten Verzerrungen sind. Wir entwickeln unsere Daten-Pipelines\u00a0 kontinuierlich weiter.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-69c6f8cf elementor-align-justify elementor-widget__width-initial elementor-widget elementor-widget-button\" data-id=\"69c6f8cf\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/github.com\/embraceableAI\/SynthIOS\" target=\"_blank\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Auf GitHub entdecken<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-297071d5 e-con-full elementor-hidden-mobile elementor-hidden-widescreen elementor-hidden-desktop elementor-hidden-laptop e-flex e-con e-child\" data-id=\"297071d5\" data-element_type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-111d74d2 e-con-full e-flex e-con e-child\" data-id=\"111d74d2\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;gradient&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-67772602 elementor-view-default elementor-widget elementor-widget-icon\" data-id=\"67772602\" data-element_type=\"widget\" data-widget_type=\"icon.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-icon-wrapper\">\n\t\t\t<div class=\"elementor-icon\">\n\t\t\t<i aria-hidden=\"true\" class=\"icon icon-drag--horizontal\"><\/i>\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-58c78579 e-con-full e-flex e-con e-child\" data-id=\"58c78579\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-1440d159 elementor-widget__width-initial elementor-widget elementor-widget-heading\" data-id=\"1440d159\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">LLM Finetuning &amp; Scale-Ups<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4f2b57c3 elementor-widget__width-inherit elementor-widget elementor-widget-heading\" data-id=\"4f2b57c3\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Finetuning mit Kontext-Skalierung<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-49c14251 elementor-widget__width-inherit elementor-widget elementor-widget-text-editor\" data-id=\"49c14251\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Eine kontrollierbare Architektur verdient eine pr\u00e4zise Sprache. Damit unsere Systeme nicht nur logisch korrekt, sondern auch in Ihrer spezifischen Dom\u00e4ne exzellent kommunizieren, passen wir Open-Weight-Sprachmodelle mit\u00a0<strong>LoRA (Low-Rank Adaptation)<\/strong>\u00a0an. Au\u00dferdem forschen wir an innovativen Methoden, das Kontextfenster signifikant (Faktor x2, x4 oder gar x8) zu erweitern. Damit erweitern wir gezielt die F\u00e4higkeiten von\u00a0<b>EU AI Act konformen\u00a0<\/b>Open-Source Modellen, um diese f\u00fcr den Business-Einsatz verwend- &amp; anpassbar zu machen.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-14747e21 elementor-align-justify elementor-widget__width-initial elementor-widget elementor-widget-button\" data-id=\"14747e21\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/huggingface.co\/embraceableAI\" target=\"_blank\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Auf HuggingFace entdecken<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-52b4b93a e-con-full elementor-hidden-mobile elementor-hidden-tablet e-flex e-con e-child\" data-id=\"52b4b93a\" data-element_type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-7d953ec2 e-con-full e-flex e-con e-child\" data-id=\"7d953ec2\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;gradient&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-30e36df9 elementor-view-default elementor-widget elementor-widget-icon\" data-id=\"30e36df9\" data-element_type=\"widget\" data-widget_type=\"icon.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-icon-wrapper\">\n\t\t\t<div class=\"elementor-icon\">\n\t\t\t<i aria-hidden=\"true\" class=\"icon icon-rd-party-connected\"><\/i>\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-3d79960 e-con-full e-flex e-con e-child\" data-id=\"3d79960\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-d225674 elementor-view-default elementor-widget elementor-widget-icon\" data-id=\"d225674\" data-element_type=\"widget\" data-widget_type=\"icon.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-icon-wrapper\">\n\t\t\t<div class=\"elementor-icon\">\n\t\t\t<i aria-hidden=\"true\" class=\"icon icon-D-software\"><\/i>\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-2aca670f e-con-full e-flex e-con e-child\" data-id=\"2aca670f\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;gradient&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-33853615 elementor-view-default elementor-widget elementor-widget-icon\" data-id=\"33853615\" data-element_type=\"widget\" data-widget_type=\"icon.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-icon-wrapper\">\n\t\t\t<div class=\"elementor-icon\">\n\t\t\t<i aria-hidden=\"true\" class=\"icon icon-drag--horizontal\"><\/i>\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-6e59ab2 e-con-full elementor-hidden-mobile elementor-hidden-tablet e-flex e-con e-child\" data-id=\"6e59ab2\" data-element_type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-27e104c7 e-con-full e-flex e-con e-child\" data-id=\"27e104c7\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-5ca16bdf elementor-widget__width-initial elementor-widget elementor-widget-heading\" data-id=\"5ca16bdf\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Advanced Cognitive Systems Lab gGmbH<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1a98dc99 elementor-widget__width-inherit elementor-widget elementor-widget-heading\" data-id=\"1a98dc99\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Kognitive Architekturen weiterdenken<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-58eaa40b elementor-widget__width-inherit elementor-widget elementor-widget-text-editor\" data-id=\"58eaa40b\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\tDie Leistungsf\u00e4higkeit von kognitiver Intelligenz wird u.a. durch die Qualit\u00e4t der hinterlegten <strong>Cognitive Schemata<\/strong> bestimmt. Das Ziel der <a href=\"https:\/\/acsl.ai\" target=\"_blank\" rel=\"noopener\">ACSL<\/a> ist es, diese Schemata kontinuierlich zu verbessern und auch f\u00fcr komplexeste Denk-Pfade nutzbar zu machen. Wir praktizieren experimentelle Forschung, wie wir diese Steigerung der Intelligenz bei gleichzeitiger Beibehaltung von Sicherheit und Kontrolle als durchg\u00e4ngigem Grund-Prinzip erreichen k\u00f6nnen. Die Ergebnisse werden \u00f6ffentlich publiziert und f\u00fcr die Nutzbarmachung in der Wirtschaft dokumentiert und aufbereitet.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-20216859 elementor-align-justify elementor-widget__width-initial elementor-widget elementor-widget-button\" data-id=\"20216859\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"http:\/\/acsl.ai\/wp-content\/uploads\/2025\/08\/LVNA-Paper-Aug15-2025.pdf\" target=\"_blank\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Architektur-Paper lesen<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-5c78a589 e-con-full e-flex e-con e-child\" data-id=\"5c78a589\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-3044cb69 elementor-widget__width-initial elementor-widget elementor-widget-heading\" data-id=\"3044cb69\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Synthetische Trainings-Daten<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-674d16 elementor-widget__width-inherit elementor-widget elementor-widget-heading\" data-id=\"674d16\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">SynthIOS: Hochwertige Trainingsdaten <\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-186f8b8e elementor-widget__width-inherit elementor-widget elementor-widget-text-editor\" data-id=\"186f8b8e\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Die Qualit\u00e4t von Trainings-Daten hat einen ma\u00dfgeblichen Einfluss auf das Verhalten von KI-Systemen. Statt uns auf externe Quellen zu verlassen, erzeugen wir mit unserer Open-Source-Pipeline <strong>SynthIOS<\/strong> unsere eigenen hochqualitativen Trainingsdaten. So stellen wir sicher, dass die hinterlegten Modelle auf der bestm\u00f6glichen und relevantesten Wissensbasis operieren und frei von unerw\u00fcnschten Verzerrungen sind. Wir entwickeln unsere Daten-Pipelines\u00a0 kontinuierlich weiter.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-18294caa elementor-align-justify elementor-widget__width-initial elementor-widget elementor-widget-button\" data-id=\"18294caa\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/github.com\/embraceableAI\/SynthIOS\" target=\"_blank\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Auf GitHub entdecken<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-16d85679 e-con-full e-flex e-con e-child\" data-id=\"16d85679\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-2779aa08 elementor-widget__width-initial elementor-widget elementor-widget-heading\" data-id=\"2779aa08\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">LLM Finetuning &amp; Scale-Ups<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-248656d5 elementor-widget__width-inherit elementor-widget elementor-widget-heading\" data-id=\"248656d5\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Finetuning mit Kontext-Skalierung<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3df26024 elementor-widget__width-inherit elementor-widget elementor-widget-text-editor\" data-id=\"3df26024\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\tEine kontrollierbare Architektur verdient eine pr\u00e4zise Sprache. Damit unsere Systeme nicht nur logisch korrekt, sondern auch in Ihrer spezifischen Dom\u00e4ne exzellent kommunizieren, passen wir Open-Weight-Sprachmodelle mit <strong>LoRA (Low-Rank Adaptation)<\/strong> an. Au\u00dferdem forschen wir an innovativen Methoden, das Kontextfenster signifikant (Faktor x2, x4 oder gar x8) zu erweitern. Damit erweitern wir gezielt die F\u00e4higkeiten von <b>EU AI Act konformen\u00a0<\/b>Open-Source Modellen, um diese f\u00fcr den Business-Einsatz verwend- &amp; anpassbar zu machen.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-366cee08 elementor-align-justify elementor-widget__width-initial elementor-widget elementor-widget-button\" data-id=\"366cee08\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/huggingface.co\/embraceableAI\" target=\"_blank\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Auf HuggingFace entdecken<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-5c5dc929 e-con-full e-flex e-con e-child\" data-id=\"5c5dc929\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-1b6d4664 elementor-widget elementor-widget-spacer\" data-id=\"1b6d4664\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-55874ae1 elementor-widget__width-initial elementor-widget-mobile__width-inherit elementor-widget elementor-widget-text-editor\" data-id=\"55874ae1\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Unsere Forschungsagenda verfolgt ein klares, strategisches Ziel: wir machen kontrollierbare KI intelligenter, zug\u00e4nglicher und leistungsf\u00e4higer. Indem wir die Denkf\u00e4higkeit der Architektur vertiefen, ihre Effizienz auf jeder Hardware maximieren und die F\u00e4higkeiten konformer Open-Source-Modelle gezielt erweitern, gestalten wir aktiv die n\u00e4chste Generation souver\u00e4ner Kognitiver Modelle.\u00a0<\/p><p>So stellen wir sicher, dass unsere Technologie nicht nur heute f\u00fchrend ist, sondern auch morgen die Standards f\u00fcr vertrauensw\u00fcrdige k\u00fcnstliche Intelligenz setzt.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Fundamental research for&#8230;Advanced Cognitive Systems Since 2018, we have been conducting fundamental research and experimental development of innovative AI architectures. These activities form the technological and methodological basis of the Conclusion Cognitive Models (CCMs). In mid-2025, we spun off our research into a separate research unit\u2014the Advanced Cognitive Systems Lab\u2014to focus and intensify our research [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-33866","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.1 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Research - Maschinelles Denken<\/title>\n<meta name=\"robots\" content=\"noindex, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Research - Maschinelles Denken\" \/>\n<meta property=\"og:description\" content=\"Fundamental research for&#8230;Advanced Cognitive Systems Since 2018, we have been conducting fundamental research and experimental development of innovative AI architectures. These activities form the technological and methodological basis of the Conclusion Cognitive Models (CCMs). 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