{"id":987629010,"date":"2026-05-11T15:26:22","date_gmt":"2026-05-11T13:26:22","guid":{"rendered":"https:\/\/staging.omnys.com\/research-and-development\/"},"modified":"2026-09-10T14:33:16","modified_gmt":"2026-09-10T12:33:16","slug":"research-and-development","status":"publish","type":"page","link":"https:\/\/www.omnys.com\/en\/research-and-development\/","title":{"rendered":"Research and Development"},"content":{"rendered":"<p>[et_pb_section fb_built=&#8221;1&#8243; _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; background_enable_color=&#8221;off&#8221; background_image=&#8221;https:\/\/www.omnys.com\/wp-content\/uploads\/2026\/05\/Servizi-1.jpg&#8221; custom_padding=&#8221;70px||70px||false|false&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_row use_custom_gutter=&#8221;on&#8221; gutter_width=&#8221;1&#8243; make_equal=&#8221;on&#8221; _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; background_enable_color=&#8221;off&#8221; width=&#8221;100%&#8221; max_width=&#8221;1200px&#8221; height_tablet=&#8221;&#8221; height_phone=&#8221;&#8221; height_last_edited=&#8221;on|phone&#8221; custom_padding=&#8221;0px|20px|0px||true|false&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.19.4&#8243; _module_preset=&#8221;default&#8221; custom_padding=&#8221;|||5%|false|false&#8221; animation_style=&#8221;slide&#8221; animation_direction=&#8221;left&#8221; animation_duration=&#8221;600ms&#8221; animation_speed_curve=&#8221;ease&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; text_text_color=&#8221;#000000&#8243; header_font=&#8221;google bold|700|||||||&#8221; header_text_color=&#8221;#ff9900&#8243; header_font_size=&#8221;80px&#8221; header_letter_spacing=&#8221;2.7px&#8221; header_line_height=&#8221;1.1em&#8221; width=&#8221;100%&#8221; max_width=&#8221;1200px&#8221; custom_margin=&#8221;0px||||false|false&#8221; custom_padding=&#8221;20px|||0px|false|false&#8221; header_font_size_tablet=&#8221;60px&#8221; header_font_size_phone=&#8221;40px&#8221; header_font_size_last_edited=&#8221;on|phone&#8221; header_letter_spacing_tablet=&#8221;-2px&#8221; header_letter_spacing_phone=&#8221;0px&#8221; header_letter_spacing_last_edited=&#8221;on|phone&#8221; custom_css_free_form=&#8221;.gradient-text {||  background: linear-gradient(45deg, #ffffff,  #ff9900);||  -webkit-background-clip: text;||  -webkit-text-fill-color: transparent;|||| background-size: 100% 100%; \/* estende il gradiente su 2 volte la larghezza del testo *\/||  background-repeat: no-repeat;||  ||  }&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h1 class=\"page-hero-title\">Research &amp; Development<\/h1>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;google regular||||||||&#8221; text_text_color=&#8221;#FFFFFF&#8221; text_font_size=&#8221;20px&#8221; text_line_height=&#8221;1.2em&#8221; header_font=&#8221;Poppins|700|||||||&#8221; header_text_color=&#8221;#ff9900&#8243; header_font_size=&#8221;80px&#8221; header_letter_spacing=&#8221;2.7px&#8221; header_line_height=&#8221;1.1em&#8221; width=&#8221;100%&#8221; max_width=&#8221;1200px&#8221; custom_padding=&#8221;0px|||0px|false|false&#8221; header_font_size_tablet=&#8221;60px&#8221; header_font_size_phone=&#8221;30px&#8221; header_font_size_last_edited=&#8221;on|phone&#8221; header_letter_spacing_tablet=&#8221;-2px&#8221; header_letter_spacing_phone=&#8221;0px&#8221; header_letter_spacing_last_edited=&#8221;on|phone&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p><span>Research and Development is a cornerstone of Omnys. We\u2019re always one step ahead, exploring emerging technologies in the fields of IoT, machine learning, NLP, and AI to bring tomorrow\u2019s projects and services to life today. <\/span><\/p>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=&#8221;1&#8243; module_id=&#8221;tab-panel-dev&#8221; module_class=&#8221;tab-panel panel-dev custom-tab-panel&#8221; _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; background_color=&#8221;#FFFFFF&#8221; custom_margin=&#8221;0px||||false|false&#8221; custom_padding=&#8221;90px||||false|false&#8221; custom_css_free_form=&#8221;selector{||\tpadding-top:90px !important;||\tpadding-bottom:60px !important;||\tmargin-top:0 !important;||\tmargin-bottom:0 !important;||}||||selector .et_pb_row{||\tmargin-top:0 !important;||\tmargin-bottom:0px !important;||\tpadding-top:0px !important;||\tpadding-bottom:0 !important;||}||||selector .et_pb_row:first-child{||\tmargin-top:0 !important;||\tpadding-top:0 !important;||}||||selector {||\tpadding-top:90px !important;||  padding-bottom: 70px !important;||}&#8221; 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color: #2b2b2b; font-weight: 500; margin-bottom: -20px; }<!-- [et_pb_line_break_holder] -->  .ap-stat-sub { font-size: 20px; color: #2b2b2b; font-weight: 300; }<!-- [et_pb_line_break_holder] -->  .ap-tags-label { font-size: 18px; font-weight: 600; letter-spacing: 0.1em; text-transform: uppercase; color: #9ca3af; margin-bottom: 16px; }<!-- [et_pb_line_break_holder] -->  .ap-tags { display: grid; grid-template-columns: repeat(5, 1fr); gap: 10px; }<!-- [et_pb_line_break_holder] -->  .ap-tag { font-size: 15px; font-weight: 500; color: #ff9900; background: #fff8ee; border: 1px solid #ffe4b5; padding: 8px 10px; border-radius: 8px; text-align: center; }<!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] -->  @media (max-width: 768px) {<!-- [et_pb_line_break_holder] -->    .ap-wrap { padding: 40px 8px; }<!-- [et_pb_line_break_holder] -->    .ap-top { grid-template-columns: 1fr; gap: 24px; margin-bottom: 40px; }<!-- [et_pb_line_break_holder] -->    .ap-stats { grid-template-columns: 1fr; margin-bottom: 40px; }<!-- [et_pb_line_break_holder] -->    .ap-stat { padding: 32px 12px; border-right: none; border-bottom: 1px solid #232f3e; }<!-- [et_pb_line_break_holder] -->    .ap-stat:last-child { border-bottom: none; }<!-- [et_pb_line_break_holder] -->    .ap-tags { grid-template-columns: repeat(2, 1fr); }<!-- [et_pb_line_break_holder] -->    .ap-tag { padding: 8px 8px; }<!-- [et_pb_line_break_holder] -->  }<!-- [et_pb_line_break_holder] --><\/style>\n<p><!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] --><\/p>\n<div class=\"ap-wrap\"><!-- [et_pb_line_break_holder] -->  <\/p>\n<div class=\"ap-top\"><!-- [et_pb_line_break_holder] -->    <\/p>\n<div><!-- [et_pb_line_break_holder] -->      <pee class=\"ap-eyebrow\">OUR APPROACH<\/pee><!-- [et_pb_line_break_holder] -->      <\/p>\n<h2 class=\"ap-title\">Continuous innovation since 1999<\/h2>\n<p><!-- [et_pb_line_break_holder] -->    <\/div>\n<p><!-- [et_pb_line_break_holder] -->    <\/p>\n<div><!-- [et_pb_line_break_holder] -->      <pee class=\"ap-desc\">Omnys maintains a constant focus on the future by actively participating in European projects and collaborating with national and international academic partners. The results of our research are directly integrated into the products and services we offer our clients, including the Omnyscient and Omnyvore platforms.<\/pee><!-- [et_pb_line_break_holder] -->      <pee class=\"ap-desc\">Our R&amp;D activities address the challenges faced by SMEs, major players and industrial organizations, with a constant focus on efficiency and evolving industry needs.<\/pee><!-- [et_pb_line_break_holder] -->    <\/div>\n<p><!-- [et_pb_line_break_holder] -->  <\/div>\n<p><!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] -->  <\/p>\n<hr class=\"ap-divider\"><!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] -->  <\/p>\n<div class=\"ap-stats\"><!-- [et_pb_line_break_holder] -->    <\/p>\n<div class=\"ap-stat\"><!-- [et_pb_line_break_holder] -->      <pee class=\"ap-stat-num\">4<\/pee><!-- [et_pb_line_break_holder] -->      <pee class=\"ap-stat-label\">Published papers<\/pee><!-- [et_pb_line_break_holder] -->      <pee class=\"ap-stat-sub\">Presented at international conferences<\/pee><!-- [et_pb_line_break_holder] -->    <\/div>\n<p><!-- [et_pb_line_break_holder] -->    <\/p>\n<div class=\"ap-stat\"><!-- [et_pb_line_break_holder] -->      <pee class=\"ap-stat-num\">8<\/pee><!-- [et_pb_line_break_holder] -->      <pee class=\"ap-stat-label\">Academic partners<\/pee><!-- [et_pb_line_break_holder] -->      <pee class=\"ap-stat-sub\">European universities and research centers<\/pee><!-- [et_pb_line_break_holder] -->    <\/div>\n<p><!-- [et_pb_line_break_holder] -->    <\/p>\n<div class=\"ap-stat\"><!-- [et_pb_line_break_holder] -->      <pee class=\"ap-stat-num\">1<\/pee><!-- [et_pb_line_break_holder] -->      <pee class=\"ap-stat-label\">Best Paper Award<\/pee><!-- [et_pb_line_break_holder] -->      <pee class=\"ap-stat-sub\">IntelliSys 2025 \u2014 Amsterdam<\/pee><!-- [et_pb_line_break_holder] -->    <\/div>\n<p><!-- [et_pb_line_break_holder] -->  <\/div>\n<p><!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] -->  <pee class=\"ap-tags-label\">Research areas<\/pee><!-- [et_pb_line_break_holder] -->  <\/p>\n<div class=\"ap-tags\"><!-- [et_pb_line_break_holder] -->    <span class=\"ap-tag\">Generative AI<\/span><!-- [et_pb_line_break_holder] -->    <span class=\"ap-tag\">Machine Learning<\/span><!-- [et_pb_line_break_holder] -->    <span class=\"ap-tag\">NLP<\/span><!-- [et_pb_line_break_holder] -->    <span class=\"ap-tag\">Internet of Things<\/span><!-- [et_pb_line_break_holder] -->    <span class=\"ap-tag\">RAG<\/span><!-- [et_pb_line_break_holder] -->    <span class=\"ap-tag\">Information Retrieval<\/span><!-- [et_pb_line_break_holder] -->    <span class=\"ap-tag\">Neural Networks<\/span><!-- [et_pb_line_break_holder] -->    <span class=\"ap-tag\">Computer Vision<\/span><!-- [et_pb_line_break_holder] -->    <span class=\"ap-tag\">LLM<\/span><!-- [et_pb_line_break_holder] -->    <span class=\"ap-tag\">Deep Learning<\/span><!-- [et_pb_line_break_holder] -->  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custom_padding=&#8221;0px|||0px|false|false&#8221; header_font_size_tablet=&#8221;60px&#8221; header_font_size_phone=&#8221;30px&#8221; header_font_size_last_edited=&#8221;on|phone&#8221; header_letter_spacing_tablet=&#8221;-2px&#8221; header_letter_spacing_phone=&#8221;0px&#8221; header_letter_spacing_last_edited=&#8221;on|phone&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h4 class=\"text\" style=\"text-align: left;\"><span>Publications<\/span><\/h4>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;google bold||||||||&#8221; text_text_color=&#8221;#ff9900&#8243; text_font_size=&#8221;22px&#8221; header_font=&#8221;google bold|700|||||||&#8221; header_text_color=&#8221;#ff9900&#8243; header_font_size=&#8221;80px&#8221; header_letter_spacing=&#8221;2.7px&#8221; header_line_height=&#8221;1.1em&#8221; header_2_font=&#8221;google bold||||||||&#8221; width=&#8221;100%&#8221; max_width=&#8221;1200px&#8221; custom_padding=&#8221;0px|||0px|false|false&#8221; header_font_size_tablet=&#8221;60px&#8221; header_font_size_phone=&#8221;30px&#8221; header_font_size_last_edited=&#8221;on|phone&#8221; header_letter_spacing_tablet=&#8221;-2px&#8221; header_letter_spacing_phone=&#8221;0px&#8221; header_letter_spacing_last_edited=&#8221;on|phone&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h2 class=\"section-title\" style=\"text-align: left;\">Scientific Contributions<\/h2>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;|300|||||||&#8221; text_text_color=&#8221;#000000&#8243; text_font_size=&#8221;18px&#8221; custom_margin=&#8221;||40px||false|false&#8221; custom_padding=&#8221;||0px|||&#8221; custom_css_free_form=&#8221;selector,||selector p,||selector .et_pb_text_inner,||selector .et_pb_text_inner p {||  font-size: 20px !important;||  line-height: 1.9 !important;||  font-weight: 400 !important;||  color: #2b2b2b !important;||  letter-spacing: 0 !important;||  margin: 0 !important;||  padding: 0 !important;||}&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p style=\"text-align: left;\"><span>Our researchers contribute to the scientific community by presenting papers at major international conferences.<\/span><\/p>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row module_class=&#8221;partner-card-row partner-card-dark&#8221; _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text module_class=&#8221;partner-tags&#8221; _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; custom_margin=&#8221;0px||10px||false|false&#8221; custom_padding=&#8221;0px||20px||false|false&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p><span>Amsterdam, August 28\u201329, 2025<\/span><\/p>\n<p>[\/et_pb_text][et_pb_text module_class=&#8221;partner-heading&#8221; _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h3>&#8220;Domain-Specific and Cross-Lingual Synthetic Data Generation for Information Retrieval Training in RAG Applications&#8221; <span> BEST PAPER AWARD<\/span><\/h3>\n<p> [\/et_pb_text][et_pb_text _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; custom_css_free_form=&#8221;selector {||  font-weight: 400;||  font-size:18px;||}&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p><span>Awarded the Best Paper Award at the 11th Intelligent Systems Conference (IntelliSys 2025). The paper presents an innovative approach to generating cross-linguistic and domain-specific synthetic data to improve the accuracy of information retrieval systems in business contexts, laying the groundwork for increasingly effective Generative AI applications in the enterprise. <\/span><\/p>\n<p>[\/et_pb_text][et_pb_text module_class=&#8221;partner-tags&#8221; _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;]<span>RAG<\/span> <span>NLP<\/span> <span>Information Retrieval<\/span> <span>Synthetic Data<\/span> <span>LLM<\/span>[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row module_class=&#8221;partner-card-row partner-card-light&#8221; _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_image src=&#8221;data:image\/svg+xml;base64,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&#8221; module_class=&#8221;partner-logo&#8221; _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_image][et_pb_text module_class=&#8221;partner-tags&#8221; _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; custom_padding=&#8221;||20px||false|false&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p><span>Padua, July 18\u201323, 2022<\/span><\/p>\n<p>[\/et_pb_text][et_pb_text module_class=&#8221;partner-heading&#8221; _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; text_text_color=&#8221;#000000&#8243; custom_css_free_form=&#8221;selector {||  color:#2b2b2b !important;||}&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h3>&#8220;Beyond Transformers: fault type detection in maintenance tickets with Kernel Methods, Boost Decision Trees and Neural Networks&#8221; <span>IEEE WCCI 2022<\/span><\/h3>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; text_text_color=&#8221;#000000&#8243; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p><span>Accepted paper al IEEE World Congress on Computational Intelligence Society, nell&#8217;ambito di Neural Networks, Fuzzy Systems e Evolutionary Computation.<\/span><\/p>\n<p>[\/et_pb_text][et_pb_text module_class=&#8221;partner-tags&#8221; _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;]<span>Transformers<\/span> <span>Fault Detection<\/span> <span>Kernel Methods<\/span> <span>Neural Networks<\/span>[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row module_class=&#8221;partner-card-row partner-card-light&#8221; _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_image src=&#8221;data:image\/svg+xml;base64,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&#8221; module_class=&#8221;partner-logo&#8221; _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_image][et_pb_text module_class=&#8221;partner-tags&#8221; _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; custom_padding=&#8221;||20px||false|false&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p><span>Amsterdam, September 3\u20134, 2020<\/span><\/p>\n<p>[\/et_pb_text][et_pb_text module_class=&#8221;partner-heading&#8221; _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h3>\u201cFood Classification for Inflammation Detection Through Ingredient Label Analysis: A Real-World NLP Case Study\u201d IntelliSys 2020<\/h3>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; text_text_color=&#8221;#000000&#8243; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p><span>Published at the Intelligent Systems Conference (IntelliSys) 2020 in Amsterdam, in the Artificial Intelligence \u2014 Natural Language Processing section.<\/span><\/p>\n<p>[\/et_pb_text][et_pb_text module_class=&#8221;partner-tags&#8221; _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;]<span>NLP<\/span> <span>Food Classification<\/span> <span>Text Analysiss<\/span> [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row module_class=&#8221;partner-card-row partner-card-light&#8221; _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_image src=&#8221;data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMTA4MCIgaGVpZ2h0PSI1NDAiIHZpZXdCb3g9IjAgMCAxMDgwIDU0MCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGZpbGw9Im5vbmUiIGZpbGwtcnVsZT0iZXZlbm9kZCI+CiAgICAgICAgPHBhdGggZmlsbD0iI0VCRUJFQiIgZD0iTTAgMGgxMDgwdjU0MEgweiIvPgogICAgICAgIDxwYXRoIGQ9Ik00NDUuNjQ5IDU0MGgtOTguOTk1TDE0NC42NDkgMzM3Ljk5NSAwIDQ4Mi42NDR2LTk4Ljk5NWwxMTYuMzY1LTExNi4zNjVjMTUuNjItMTUuNjIgNDAuOTQ3LTE1LjYyIDU2LjU2OCAwTDQ0NS42NSA1NDB6IiBmaWxsLW9wYWNpdHk9Ii4xIiBmaWxsPSIjMDAwIiBmaWxsLXJ1bGU9Im5vbnplcm8iLz4KICAgICAgICA8Y2lyY2xlIGZpbGwtb3BhY2l0eT0iLjA1IiBmaWxsPSIjMDAwIiBjeD0iMzMxIiBjeT0iMTQ4IiByPSI3MCIvPgogICAgICAgIDxwYXRoIGQ9Ik0xMDgwIDM3OXYxMTMuMTM3TDcyOC4xNjIgMTQwLjMgMzI4LjQ2MiA1NDBIMjE1LjMyNEw2OTkuODc4IDU1LjQ0NmMxNS42Mi0xNS42MiA0MC45NDgtMTUuNjIgNTYuNTY4IDBMMTA4MCAzNzl6IiBmaWxsLW9wYWNpdHk9Ii4yIiBmaWxsPSIjMDAwIiBmaWxsLXJ1bGU9Im5vbnplcm8iLz4KICAgIDwvZz4KPC9zdmc+Cg==&#8221; module_class=&#8221;partner-logo&#8221; _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_image][et_pb_text module_class=&#8221;partner-tags&#8221; _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; custom_padding=&#8221;||20px||false|false&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p><span>Bruges (Belgium), October 2\u20134, 2020<\/span><\/p>\n<p>[\/et_pb_text][et_pb_text module_class=&#8221;partner-heading&#8221; _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; text_text_color=&#8221;#000000&#8243; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h3>&#8220;Language processing in the era of deep learning&#8221;<span>ESANN 2020<\/span><\/h3>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; text_text_color=&#8221;#000000&#8243; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p><span>Published at the European Symposium on Artificial Neural Networks, Computational Intelligence, and Machine Learning (ESANN 2020).<\/span><\/p>\n<p>[\/et_pb_text][et_pb_text module_class=&#8221;partner-tags&#8221; _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;]<span>Deep Learning<\/span> <span>NLP<\/span> <span>Neural Networks<\/span> [\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=&#8221;1&#8243; _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; background_color=&#8221;#FFFFFF&#8221; custom_padding=&#8221;50px||||false|false&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_row _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; background_color=&#8221;#232f3e&#8221; background_enable_image=&#8221;off&#8221; custom_padding=&#8221;50px||50px||false|false&#8221; custom_css_free_form=&#8221;@media (max-width: 767px) {||  selector h1,||  selector h2,||  selector h3 {||    font-size: 26px !important;||    line-height: 1.2 !important;||  }||||  selector p,||  selector .et_pb_text_inner {||    font-size: 18px !important;||    line-height: 1.45 !important;||  }||}||selector {||  padding-left: 15px !important;||  padding-right: 15px !important;||}||&#8221; border_radii=&#8221;on|12px|12px|12px|12px&#8221; border_color_all=&#8221;#ff9900&#8243; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_heading title=&#8221;Are you interested in our research activities?&#8221; _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; title_font=&#8221;||||||||&#8221; title_text_align=&#8221;center&#8221; title_text_color=&#8221;#FFFFFF&#8221; title_font_size=&#8221;35px&#8221; custom_margin=&#8221;||-8px|||&#8221; custom_padding=&#8221;0px|||||&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_heading][et_pb_text _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; text_font_size=&#8221;25px&#8221; text_orientation=&#8221;center&#8221; background_layout=&#8221;dark&#8221; custom_margin=&#8221;0px||||false|false&#8221; custom_padding=&#8221;10px|10px||10px|false|true&#8221; custom_padding_tablet=&#8221;|40px||40px|false|true&#8221; custom_padding_phone=&#8221;|10px||10px|false|true&#8221; custom_padding_last_edited=&#8221;on|phone&#8221; text_line_height_tablet=&#8221;&#8221; text_line_height_phone=&#8221;1.3em&#8221; text_line_height_last_edited=&#8221;on|phone&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p><span>We are open to partnerships with universities, research centers, and innovative companies. Contact us to explore opportunities for collaboration. <\/span><\/p>\n<p>[\/et_pb_text][et_pb_button button_url=&#8221;@ET-DC@eyJkeW5hbWljIjp0cnVlLCJjb250ZW50IjoicG9zdF9saW5rX3VybF9wYWdlIiwic2V0dGluZ3MiOnsicG9zdF9pZCI6Ijk4NzUxNzIwMiJ9fQ==@&#8221; button_text=&#8221;contact us&#8221; button_alignment=&#8221;center&#8221; _builder_version=&#8221;4.27.6&#8243; _dynamic_attributes=&#8221;button_url&#8221; _module_preset=&#8221;default&#8221; custom_button=&#8221;on&#8221; button_text_size=&#8221;15px&#8221; button_text_color=&#8221;#FFFFFF&#8221; button_bg_color=&#8221;#ff9900&#8243; button_border_width=&#8221;2px&#8221; button_border_color=&#8221;#ff9900&#8243; button_border_radius=&#8221;77px&#8221; button_font=&#8221;google bold|700||on|||||&#8221; button_use_icon=&#8221;off&#8221; custom_margin=&#8221;0px|||0px|false|false&#8221; custom_margin_tablet=&#8221;37px||||false|false&#8221; custom_margin_phone=&#8221;22px||||false|false&#8221; custom_margin_last_edited=&#8221;on|phone&#8221; custom_padding=&#8221;14px|25px|14px|25px|true|true&#8221; global_colors_info=&#8221;{}&#8221; button_text_color__hover_enabled=&#8221;on|hover&#8221; button_text_color__hover=&#8221;#FFFFFF&#8221; button_bg_color__hover_enabled=&#8221;on|desktop&#8221; button_bg_color__hover=&#8221;&#8221; button_bg_enable_color__hover=&#8221;off&#8221; button_bg_use_color_gradient__hover=&#8221;off&#8221;][\/et_pb_button][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Research &amp; DevelopmentResearch and Development is a cornerstone of Omnys. We\u2019re always one step ahead, exploring emerging technologies in the fields of IoT, machine learning, NLP, and AI to bring tomorrow\u2019s projects and services to life today. PublicationsScientific ContributionsOur researchers contribute to the scientific community by presenting papers at major international conferences.Amsterdam, August 28\u201329, 2025&#8243;Domain-Specific and Cross-Lingual Synthetic Data Generation for Information Retrieval Training in RAG Applications&#8221; BEST PAPER AWARD Awarded the Best Paper Award at the 11th Intelligent Systems Conference (IntelliSys 2025). The paper presents an innovative approach to generating cross-linguistic and domain-specific synthetic data to improve the accuracy of information retrieval systems in business contexts, laying the groundwork for increasingly effective Generative AI applications in the enterprise. RAG NLP Information Retrieval Synthetic Data LLMPadua, July 18\u201323, 2022&#8243;Beyond Transformers: fault type detection in maintenance tickets with Kernel Methods, Boost Decision Trees and Neural Networks&#8221; IEEE WCCI 2022Accepted paper al IEEE World Congress on Computational Intelligence Society, nell&#8217;ambito di Neural Networks, Fuzzy Systems e Evolutionary Computation.Transformers Fault Detection Kernel Methods Neural NetworksAmsterdam, September 3\u20134, 2020\u201cFood Classification for Inflammation Detection Through Ingredient Label Analysis: A Real-World NLP Case Study\u201d IntelliSys 2020Published at the Intelligent Systems Conference (IntelliSys) 2020 in Amsterdam, in [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"dipi_cpt_category":[],"class_list":["post-987629010","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.4 - 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