{"id":108288,"date":"2024-01-10T11:14:00","date_gmt":"2024-01-10T10:14:00","guid":{"rendered":"https:\/\/www.cib.de\/?p=108288"},"modified":"2024-11-04T13:36:16","modified_gmt":"2024-11-04T12:36:16","slug":"ai-cib-munich-datageeks-meetup","status":"publish","type":"post","link":"https:\/\/www.cib.de\/en\/ki-cib-munich-datageeks-meetup\/","title":{"rendered":"AI@CIB: CIB Group holds the next Datageeks expert meeting in Munich"},"content":{"rendered":"<div data-elementor-type=\"wp-post\" data-elementor-id=\"108288\" class=\"elementor elementor-108288\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-3c56959 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"3c56959\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-4b37723\" data-id=\"4b37723\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-b88185a elementor-widget elementor-widget-text-editor\" data-id=\"b88185a\" data-element_type=\"widget\" data-e-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>Save the date: Am 25. Januar um 19:00 Uhr im <span style=\"text-decoration: underline;\"><a style=\"text-decoration: underline;\" href=\"https:\/\/www.cib.de\/en\/modul-e\/\">CIB modul-E<\/a><\/span> the next <span style=\"text-decoration: underline;\"><a style=\"text-decoration: underline;\" href=\"https:\/\/munich-datageeks.de\/\">Munich Datageeks<\/a><\/span> meeting will take place in our Munich office. You can expect two exciting expert presentations on use cases for large AI language models and, of course, the opportunity to exchange ideas and network with experts and many interesting guests.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-3192b34 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"3192b34\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-507ad72\" data-id=\"507ad72\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-eb745a1 elementor-widget elementor-widget-heading\" data-id=\"eb745a1\" data-element_type=\"widget\" data-e-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\">Talks &amp; Networking mit CIB Gastfreundschaft:<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-8c85e7c elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"8c85e7c\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-0c90802\" data-id=\"0c90802\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-18475d3 elementor-widget elementor-widget-text-editor\" data-id=\"18475d3\" data-element_type=\"widget\" data-e-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<ul>\n \t<li>2 presentations (approx. 40 min. each incl. discussion)<\/li>\n \t<li>Networking + food + drinks before, between and after the presentations<\/li>\n \t<li>The lectures will be held in English.<\/li>\n \t<li>Photos and videos will be taken during the event. They will be used for dissemination on networks or web.<\/li>\n<\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-66103a3 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"66103a3\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-87358ab\" data-id=\"87358ab\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-596c537 elementor-widget elementor-widget-heading\" data-id=\"596c537\" data-element_type=\"widget\" data-e-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\">Talk 1: Konrad Grosser - Pretraining Multimodal Transformers for Document Understanding\n<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1490f8e elementor-widget elementor-widget-text-editor\" data-id=\"1490f8e\" data-element_type=\"widget\" data-e-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><em>\"Documents contain rich information that is available both linguistically and visually and is important in many business processes. Automatic understanding of documents is therefore a growing field of research and requires powerful multimodal approaches. In my presentation, I will give you an overview of AI research based on specific previous projects. I will then describe the state of the art in image transformer models and bimodal transformer models, and explain some principles for pre-training large multimodal transformer models for document understanding. These are illustrated using examples from the <\/em><a href=\"https:\/\/www.cib.de\/en\/ridmi\/\"><em><span style=\"text-decoration: underline;\">RIDM<\/span>I<\/em><\/a><em>-research project, which is currently being conducted jointly by <\/em><span style=\"text-decoration: underline;\"><a href=\"https:\/\/www.cib.de\/en\/\"><em>CIB<\/em><\/a><\/span><em> and <\/em><span style=\"text-decoration: underline;\"><a style=\"text-decoration: underline;\" href=\"https:\/\/www.iais.fraunhofer.de\/\"><em>Fraunhofer IAIS,<\/em><\/a><\/span><em> \".<\/em><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-408200a elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"408200a\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-1e0233a\" data-id=\"1e0233a\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-289930e elementor-widget elementor-widget-heading\" data-id=\"289930e\" data-element_type=\"widget\" data-e-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\">Talk 2: Florian Haselbeck - Advancing Synthetic Protein Design with Large Language Models<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7d46fe9 elementor-widget elementor-widget-text-editor\" data-id=\"7d46fe9\" data-element_type=\"widget\" data-e-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><em>\"Accurate prediction of protein properties is an essential task in many areas of biotechnology, including enzyme engineering and protein hybrid optoelectronics. In recent publications, approaches based on protein language models have shown superior performance both in predicting protein functions and structures and in generating novel sequences. In this talk, we will highlight the advantages of large language models for predicting protein thermophilicity and thermostability and provide an outlook on how these models will revolutionize the design of synthetic proteins.\"<\/em><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-7d0ba45 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"7d0ba45\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-527f6e4\" data-id=\"527f6e4\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-e642d99 elementor-widget elementor-widget-heading\" data-id=\"e642d99\" data-element_type=\"widget\" data-e-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\">The Speakers: <\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-4c47222 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"4c47222\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-2bca8df\" data-id=\"2bca8df\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-87d2f1c elementor-widget elementor-widget-text-editor\" data-id=\"87d2f1c\" data-element_type=\"widget\" data-e-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 class=\"translation-block\"><u>Konrad Grosser<\/u> is currently a Senior Data Scientist in the AI team of the <a href=\"https:\/\/www.cib.de\/en\/\" target=\"_self\">CIB Group<\/a>. He studied mathematics at the ETH Zurich and holds an MScs in population genetics from the University of Vienna. Before joining the AI team at CIB, he worked as a research scientist in statistical genetics at the LMU, focusing on the population genetics of hematopoietic neoplasms. He has a broad interest and experience in machine learning and statistics, with a focus on automated document lifecycle management.<\/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-5bb9d0d elementor-widget elementor-widget-text-editor\" data-id=\"5bb9d0d\" data-element_type=\"widget\" data-e-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 class=\"translation-block\"><u>Florian Haselbeck<\/u> is a research associate at the Chair of Bioinformatics at the <a href=\"https:\/\/www.cs.tum.de\/campus-straubing\/\" target=\"_self\">TUM Campus Straubing for Biotechnology and Sustainability<\/a>. He recently completed his PhD on machine learning for time series prediction. Before his PhD, Florian worked as a data scientist and software developer at Audi AG. He holds an M.Sc. in Computer Science and IT Management and a B.Eng. in Mechatronics.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-df66fd4 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"df66fd4\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-b7ad8c5\" data-id=\"b7ad8c5\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-5129cda elementor-widget elementor-widget-text-editor\" data-id=\"5129cda\" data-element_type=\"widget\" data-e-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><b>Attend the event and participate in interesting discussions with AI experts. You will learn first-hand about the latest developments that will shape the future of AI and its applications in document processing.<\/b><\/p><p>Over 225 interested guests have already registered - <a href=\"https:\/\/www.meetup.com\/munich-datageeks\/events\/298074339\"><span style=\"text-decoration: underline;\">register now<\/span><\/a> - only a few places are available!<\/p><p>Let\u00b4s CIB!<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>","protected":false},"excerpt":{"rendered":"<p>We are thrilled to extend our invitation to you for the upcoming Datageek event, set to be held on January 25th at our CIB Module-E headquarters in Munich. This exclusive gathering marks an exciting milestone in our pursuit of cutting-edge AI research and innovation, particularly in the realm of Pretraining Multimodal Transformers for Document Understanding.<\/p>","protected":false},"author":246,"featured_media":109853,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[922],"tags":[1066,1516,2301],"class_list":["post-108288","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ki-innovation","tag-cib-event","tag-module","tag-cib-ki"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.5 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>KI@CIB: CIB Group l\u00e4dt zum n\u00e4chsten Expertentreffen der Munich Datageeks ein - CIB Group<\/title>\n<meta name=\"description\" content=\"Am 25. Januar um 18:00 Uhr im CIB modul-E findet das n\u00e4chste Munich Datageeks Treffen in unserem M\u00fcnchner B\u00fcro statt.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.cib.de\/en\/ai-cib-munich-datageeks-meetup\/\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"KI@CIB: CIB Group l\u00e4dt zum n\u00e4chsten Expertentreffen der Munich Datageeks ein - CIB Group\" \/>\n<meta property=\"og:description\" content=\"Am 25. 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