{"id":2981,"date":"2025-09-03T14:34:30","date_gmt":"2025-09-03T12:34:30","guid":{"rendered":"https:\/\/www.ki-fortschrittszentrum.de\/?post_type=projekt&#038;p=2981"},"modified":"2025-09-04T10:37:27","modified_gmt":"2025-09-04T08:37:27","slug":"ki-anomaly-detection-with-limited-data-sets","status":"publish","type":"projekt","link":"https:\/\/www.ki-fortschrittszentrum.de\/en\/projekt\/ki-anomalieerkennung-mit-begrenzten-datensatzen\/","title":{"rendered":"AI anomaly detection with limited data sets"},"content":{"rendered":"<div class=\"wp-block-stackable-columns stk-block-columns stk-block stk-86663cd stk-block-background stk--has-background-overlay\" data-block-id=\"86663cd\"><style>.stk-86663cd {background-image:url(https:\/\/www.ki-fortschrittszentrum.de\/wp-content\/uploads\/2025\/08\/BG5-scaled.jpg) !important;background-position:center center !important;background-repeat:no-repeat !important;background-size:cover !important;min-height:520px !important;align-items:flex-end !important;padding-bottom:0px !important;margin-bottom:0px !important;display:flex !important;}<\/style><div class=\"stk-row stk-inner-blocks stk-block-content stk-content-align stk-86663cd-column\">\n<div class=\"wp-block-stackable-column stk-block-column stk-column stk-block stk-5a28863\" data-v=\"4\" data-block-id=\"5a28863\"><div class=\"stk-column-wrapper stk-block-column__content stk-container stk-5a28863-container stk--no-background stk--no-padding\"><div class=\"stk-block-content stk-inner-blocks stk-5a28863-inner-blocks\">\n<div class=\"wp-block-stackable-columns stk-block-columns stk-block stk-3e4895d\" data-block-id=\"3e4895d\"><div class=\"stk-row stk-inner-blocks stk-block-content stk-content-align stk-3e4895d-column\">\n<div class=\"wp-block-stackable-column stk-block-column stk-column stk-block stk-a094f1e\" data-v=\"4\" data-block-id=\"a094f1e\"><style>@media screen and (min-width:690px){.stk-a094f1e {flex:var(--stk-flex-grow, 1) 1 calc(30% - var(--stk-column-gap, 0px) * 2 \/ 3 ) !important;}}<\/style><div class=\"stk-column-wrapper stk-block-column__content stk-container stk-a094f1e-container stk--no-background stk--no-padding\"><div class=\"stk-block-content stk-inner-blocks stk-a094f1e-inner-blocks\"><\/div><\/div><\/div>\n\n\n\n<div class=\"wp-block-stackable-column stk-block-column stk-column stk-block stk-ba57710\" data-v=\"4\" data-block-id=\"ba57710\"><style>@media screen and (min-width:690px){.stk-ba57710 {flex:var(--stk-flex-grow, 1) 1 calc(30% - var(--stk-column-gap, 0px) * 2 \/ 3 ) !important;}}<\/style><div class=\"stk-column-wrapper stk-block-column__content stk-container stk-ba57710-container stk--no-background stk--no-padding\"><div class=\"stk-block-content stk-inner-blocks stk-ba57710-inner-blocks\"><\/div><\/div><\/div>\n\n\n\n<div class=\"wp-block-stackable-column stk-block-column stk-column stk-block stk-4764f29 stk-block-background\" data-v=\"4\" data-block-id=\"4764f29\"><style>.stk-4764f29 {align-self:flex-end !important;background-color:var(--theme-palette-color-8, #ffffff) !important;padding-top:0px !important;padding-right:0px !important;padding-bottom:0px !important;padding-left:0px !important;}.stk-4764f29-inner-blocks{justify-content:flex-end !important;}.stk-4764f29:before{background-color:var(--theme-palette-color-8, #ffffff) !important;}@media screen and (min-width:690px){.stk-4764f29 {flex:var(--stk-flex-grow, 1) 1 calc(40% - var(--stk-column-gap, 0px) * 2 \/ 3 ) !important;}}<\/style><div class=\"stk-column-wrapper stk-block-column__content stk-container stk-4764f29-container stk--no-background stk--no-padding\"><div class=\"stk--column-flex stk-block-content stk-inner-blocks stk-4764f29-inner-blocks\">\n<div class=\"wp-block-greenshift-blocks-container gspb_container gspb_container-gsbp-933ef16\" id=\"gspb_container-id-gsbp-933ef16\">\n<div class=\"wp-block-stackable-image stk-block-image has-text-align-right stk-block stk-1690316\" data-block-id=\"1690316\"><style>.stk-1690316 {margin-bottom:36px !important;}.stk-1690316 .stk-img-wrapper{width:50% !important;}<\/style><figure><span class=\"stk-img-wrapper stk-image--shape-stretch\"><img loading=\"lazy\" decoding=\"async\" class=\"stk-img wp-image-344\" src=\"https:\/\/www.ki-fortschrittszentrum.de\/wp-content\/uploads\/2025\/04\/Fraunhofer-IPA-WEB-weiss-1.svg\" width=\"258\" height=\"72\"\/><\/span><\/figure><\/div>\n<\/div>\n\n\n\n<div class=\"wp-block-greenshift-blocks-container gspb_container gspb_container-gsbp-1fa6a74\" id=\"gspb_container-id-gsbp-1fa6a74\">\n<div class=\"wp-block-stackable-text stk-block-text stk-block stk-be1fdb3\" data-block-id=\"be1fdb3\"><style>.stk-be1fdb3 {padding-top:0px !important;padding-bottom:12px !important;margin-top:0px !important;margin-bottom:0px !important;}.stk-be1fdb3 .stk-block-text__text{font-size:15px !important;color:#ffffff80 !important;}@media screen and (max-width:999px){.stk-be1fdb3 .stk-block-text__text{font-size:15px !important;}}<\/style><p class=\"stk-block-text__text has-text-color has-text-align-left\">Contact at the AI Innovation Center<\/p><\/div>\n\n\n\n<div class=\"wp-block-stackable-text stk-block-text stk-block stk-24ffa5e\" data-block-id=\"24ffa5e\"><style>.stk-24ffa5e {padding-top:0px !important;padding-bottom:0px !important;margin-top:0px !important;margin-bottom:0px !important;}.stk-24ffa5e .stk-block-text__text{font-size:15px !important;color:#ffffff !important;}@media screen and (max-width:999px){.stk-24ffa5e .stk-block-text__text{font-size:15px !important;}}<\/style><p class=\"stk-block-text__text has-text-color has-text-align-left\">Andreas Frommknecht<\/p><\/div>\n\n\n\n<div class=\"wp-block-stackable-button-group stk-block-button-group stk-block stk-af007b4\" data-block-id=\"af007b4\"><style>.stk-af007b4 {padding-top:0px !important;padding-right:0px !important;padding-bottom:0px !important;padding-left:0px !important;margin-top:0px !important;margin-right:0px !important;margin-bottom:0px !important;margin-left:0px !important;}<\/style><div class=\"stk-row stk-inner-blocks stk-block-content stk-button-group\">\n<div class=\"wp-block-stackable-button stk-block-button is-style-plain stk-block stk-1cf8bea\" data-block-id=\"1cf8bea\"><style>.stk-1cf8bea .stk-button{padding-top:0px !important;padding-right:0px !important;padding-bottom:0px !important;padding-left:0px !important;background:transparent !important;}.stk-1cf8bea .stk-button:hover:after{background:transparent !important;opacity:1 !important;}:where(.stk-hover-parent:hover,  .stk-hover-parent.stk--is-hovered) .stk-1cf8bea .stk-button:after{background:transparent !important;opacity:1 !important;}.stk-1cf8bea .stk-button__inner-text{font-size:15px !important;color:var(--theme-palette-color-8, #ffffff) !important;font-weight:200 !important;}@media screen and (max-width:999px){.stk-1cf8bea .stk-button__inner-text{font-size:15px !important;}}<\/style><a class=\"stk-link stk-button stk--hover-effect-darken\" href=\"mailto:andreas.frommknecht@ipa.fraunhofer.de\" title=\"andreas.frommknecht@ipa.fraunhofer.de\"><span class=\"has-text-color stk-button__inner-text\">andreas.frommknecht@ipa.fraunhofer.de<\/span><\/a><\/div>\n<\/div><\/div>\n<\/div>\n<\/div><\/div><\/div>\n<\/div><\/div>\n<\/div><\/div><\/div>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-stackable-spacer stk-block-spacer stk--no-padding stk-block stk-56a43b6\" data-block-id=\"56a43b6\"><\/div>\n\n\n\n<div class=\"wp-block-stackable-columns stk-block-columns stk-block stk-fc04401\" data-block-id=\"fc04401\"><style>.stk-fc04401 {padding-right:24px !important;padding-left:24px !important;}<\/style><div class=\"stk-row stk-inner-blocks stk-block-content stk-content-align stk-fc04401-column\">\n<div class=\"wp-block-stackable-column stk-block-column stk-column stk-block stk-a194320\" data-v=\"4\" data-block-id=\"a194320\"><div class=\"stk-column-wrapper stk-block-column__content stk-container stk-a194320-container stk--no-background stk--no-padding\"><div class=\"stk-block-content stk-inner-blocks stk-a194320-inner-blocks\"><div data-block=\"hook:1248\" class=\"alignfull\"><article id=\"post-1248\" class=\"post-1248\"><div class=\"entry-content is-layout-constrained\">\n<div class=\"wp-block-stackable-button-group stk-block-button-group stk-block stk-fcd1a8a\" data-block-id=\"fcd1a8a\"><style>.stk-fcd1a8a {margin-bottom:24px !important;}<\/style><div class=\"stk-row stk-inner-blocks stk-block-content stk-button-group\">\n<div class=\"wp-block-stackable-icon-button stk-block-icon-button stk-block stk-82470ba is-style-ghost\" data-block-id=\"82470ba\"><style>.stk-82470ba .stk-button{background:transparent !important;}.stk-82470ba .stk-button:hover{background:transparent !important;opacity:1 !important;}:where(.stk-hover-parent:hover,  .stk-hover-parent.stk--is-hovered) .stk-82470ba .stk-button:after{background:transparent !important;opacity:1 !important;}.stk-82470ba .stk-button:before{border-style:solid !important;border-color:var(--theme-palette-color-9, #264e5d) !important;}.stk-82470ba .stk-button .stk--inner-svg svg:last-child, .stk-82470ba .stk-button .stk--inner-svg svg:last-child :is(g, path, rect, polygon, ellipse){fill:var(--theme-palette-color-11, #006e92) !important;}<\/style><a class=\"stk-link stk-button stk--hover-effect-darken\" href=\"javascript:window.history.back();\" title=\"Back\"><span class=\"stk--svg-wrapper\"><div class=\"stk--inner-svg\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewbox=\"0 0 512 512\" aria-hidden=\"true\" width=\"32\" height=\"32\"><path d=\"M9.4 233.4c-12.5 12.5-12.5 32.8 0 45.3l128 128c12.5 12.5 32.8 12.5 45.3 0s12.5-32.8 0-45.3L109.3 288 480 288c17.7 0 32-14.3 32-32s-14.3-32-32-32l-370.7 0 73.4-73.4c12.5-12.5 12.5-32.8 0-45.3s-32.8-12.5-45.3 0l-128 128z\"><\/path><\/svg><\/div><\/span><\/a><\/div>\n<\/div><\/div>\n<\/div><\/article><\/div>\n\n\n\n<div class=\"wp-block-stackable-heading stk-block-heading stk-block-heading--v2 stk-block stk-5cbd537\" id=\"quick-check\" data-block-id=\"5cbd537\"><style>.stk-5cbd537 {margin-bottom:0px !important;}<\/style><h1 class=\"stk-block-heading__text\">AI anomaly detection with limited data sets<\/h1><\/div>\n\n\n\n<div class=\"wp-block-stackable-icon-label stk-block-icon-label stk-block stk-9c593c0\" id=\"quick-check\" data-block-id=\"9c593c0\"><style>.stk-9c593c0 .stk-inner-blocks{gap:8px !important;}<\/style><div class=\"stk-row stk-inner-blocks stk-block-content\">\n<div class=\"wp-block-stackable-icon stk-block-icon has-text-align-left stk-block stk-624347f\" data-block-id=\"624347f\"><style>.stk-624347f .stk--svg-wrapper .stk--inner-svg svg:last-child{height:16px !important;width:16px !important;}.stk-624347f .stk--svg-wrapper .stk--inner-svg svg:last-child, .stk-624347f .stk--svg-wrapper .stk--inner-svg svg:last-child :is(g, path, rect, polygon, ellipse){fill:var(--theme-palette-color-10, #25bae2) !important;}<\/style><span class=\"stk--svg-wrapper\"><div class=\"stk--inner-svg\"><svg style=\"height:0;width:0\"><defs><lineargradient id=\"linear-gradient-624347f\" x1=\"0\" x2=\"100%\" y1=\"0\" y2=\"0\"><stop offset=\"0%\" style=\"stop-opacity:1;stop-color:var(--linear-gradient-624347-f-color-1)\"><\/stop><stop offset=\"100%\" style=\"stop-opacity:1;stop-color:var(--linear-gradient-624347-f-color-2)\"><\/stop><\/lineargradient><\/defs><\/svg><svg data-prefix=\"fa\" data-icon=\"star\" class=\"svg-inline--fa fa-star fa-w-18\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewbox=\"0 0 576 512\" aria-hidden=\"true\" width=\"32\" height=\"32\"><path fill=\"currentColor\" d=\"M259.3 17.8L194 150.2 47.9 171.5c-26.2 3.8-36.7 36.1-17.7 54.6l105.7 103-25 145.5c-4.5 26.3 23.2 46 46.4 33.7L288 439.6l130.7 68.7c23.2 12.2 50.9-7.4 46.4-33.7l-25-145.5 105.7-103c19-18.5 8.5-50.8-17.7-54.6L382 150.2 316.7 17.8c-11.7-23.6-45.6-23.9-57.4 0z\"><\/path><\/svg><\/div><\/span><\/div>\n\n\n\n<div class=\"wp-block-stackable-heading stk-block-heading stk-block-heading--v2 stk-block stk-cdc2d3f\" id=\"span-data-stk-dynamic-current-page-post-taxonomy-term-projektformat-contenteditable-false-class-stk-dynamic-content-ai-innovation-seed-span\" data-block-id=\"cdc2d3f\"><p class=\"stk-block-heading__text\">AI Innovation Seed<\/p><\/div>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-stackable-text stk-block-text stk-block stk-65e3563\" data-block-id=\"65e3563\"><style>.stk-65e3563 {column-count:1 !important;}<\/style><p class=\"stk-block-text__text\">Fraunhofer IPA Stuttgart is looking for industrial partners based in Baden-W\u00fcrttemberg for a research project in the field of anomaly detection with limited data sets. If you are a company where anomaly detection plays or could play a strategic role for your business processes, apply to join the research consortium. Start of the AI Innovation Seed project expected from January 2022.<\/p><\/div>\n\n\n\n<div class=\"wp-block-stackable-heading stk-block-heading stk-block-heading--v2 stk-block stk-8c26049\" id=\"ausgangssituation\" data-block-id=\"8c26049\"><h2 class=\"stk-block-heading__text\">Initial situation<\/h2><\/div>\n\n\n\n<div class=\"wp-block-stackable-text stk-block-text stk-block stk-ab6a506\" data-block-id=\"ab6a506\"><style>.stk-ab6a506 {column-count:1 !important;}<\/style><p class=\"stk-block-text__text\">One of the applications where artificial intelligence (AI) can make an important contribution to various business activities is the detection of anomalies. It enables companies to improve their efficiency and product quality by recognizing products, events or situations that deviate significantly from the desired outcome and could pose a problem or danger.<\/p><\/div>\n\n\n\n<div class=\"wp-block-stackable-image stk-block-image has-text-align-left stk-block stk-6491464\" data-block-id=\"6491464\"><style>.stk-6491464 .stk-img-figcaption{font-size:12px !important;}.stk-6491464 .stk-img-wrapper{width:698px !important;}@media screen and (max-width:999px){.stk-6491464 .stk-img-figcaption{font-size:12px !important;}}<\/style><figure><span class=\"stk-img-wrapper stk-image--shape-stretch stk--has-lightbox\"><img loading=\"lazy\" decoding=\"async\" class=\"stk-img wp-image-2965\" src=\"https:\/\/www.ki-fortschrittszentrum.de\/wp-content\/uploads\/2025\/09\/KI-Fortschrittszentrum_309_AIS_Supervised-Autonomy_Teaser-scaled.jpg\" width=\"2560\" height=\"1707\" alt=\"Illustration wiring harness, source: msk.nina\/Adobe Stock\" srcset=\"https:\/\/www.ki-fortschrittszentrum.de\/wp-content\/uploads\/2025\/09\/KI-Fortschrittszentrum_309_AIS_Supervised-Autonomy_Teaser-scaled.jpg 2560w, https:\/\/www.ki-fortschrittszentrum.de\/wp-content\/uploads\/2025\/09\/KI-Fortschrittszentrum_309_AIS_Supervised-Autonomy_Teaser-400x267.jpg 400w, https:\/\/www.ki-fortschrittszentrum.de\/wp-content\/uploads\/2025\/09\/KI-Fortschrittszentrum_309_AIS_Supervised-Autonomy_Teaser-698x465.jpg 698w, https:\/\/www.ki-fortschrittszentrum.de\/wp-content\/uploads\/2025\/09\/KI-Fortschrittszentrum_309_AIS_Supervised-Autonomy_Teaser-768x512.jpg 768w, https:\/\/www.ki-fortschrittszentrum.de\/wp-content\/uploads\/2025\/09\/KI-Fortschrittszentrum_309_AIS_Supervised-Autonomy_Teaser-1536x1024.jpg 1536w, https:\/\/www.ki-fortschrittszentrum.de\/wp-content\/uploads\/2025\/09\/KI-Fortschrittszentrum_309_AIS_Supervised-Autonomy_Teaser-2048x1365.jpg 2048w, https:\/\/www.ki-fortschrittszentrum.de\/wp-content\/uploads\/2025\/09\/KI-Fortschrittszentrum_309_AIS_Supervised-Autonomy_Teaser-18x12.jpg 18w\" sizes=\"auto, (max-width: 2560px) 100vw, 2560px\" \/><\/span><figcaption class=\"stk-img-figcaption\">Figure 1: Project idea, source: Fraunhofer IPA<\/figcaption><\/figure><\/div>\n\n\n\n<div class=\"wp-block-stackable-text stk-block-text stk-block stk-3e86ca0\" id=\"losungsidee\" data-block-id=\"3e86ca0\"><p class=\"stk-block-text__text\">This type of problem, albeit with major differences in implementation, affects a variety of areas such as manufacturing (e.g. defect detection in the product), the pharmaceutical industry (e.g. detection of foreign bodies in a vial), recycling (e.g. detection of poorly differentiated products) or the medical industry (e.g. detection of diseases during examinations).<\/p><\/div>\n\n\n\n<div class=\"wp-block-stackable-heading stk-block-heading stk-block-heading--v2 stk-block stk-2874b1c\" id=\"ki-benotigt-daten\" data-block-id=\"2874b1c\"><h2 class=\"stk-block-heading__text\">AI needs data<\/h2><\/div>\n\n\n\n<div class=\"wp-block-stackable-text stk-block-text stk-block stk-412624f\" data-block-id=\"412624f\"><p class=\"stk-block-text__text\">Developments in the field of deep learning networks make it possible to significantly increase performance in the task type of anomaly detection. However, most of these algorithms require a large amount of data in order to function. This is because the more data is made available to the artificial intelligence models, the higher the probability that the algorithm will achieve better results. Despite its advantages, such an approach to generating large amounts of data also has its pitfalls. On the one hand, because it is difficult to collect large amounts of data in certain contexts, for example if the anomaly only occurs infrequently. On the other hand, because of the process of creating the dataset itself. The process requires a considerable amount of time and money, not only for<br>the data collection phase, but above all for labeling, in which the data must be processed by sufficiently qualified personnel. Furthermore, the \"variability and unpredictability of real contexts\" is a critical point of this approach. New types of anomalies could occur in different contexts and undermine the stability of the existing system (ageing of ML networks). A family of AI algorithms capable of overcoming the aforementioned limitations could achieve higher performance by offering more efficiency, flexibility and possibly higher product quality to all companies that use them and extend the use of these algorithms to previously inapplicable areas.<\/p><\/div>\n\n\n\n<div class=\"wp-block-stackable-heading stk-block-heading stk-block-heading--v2 stk-block stk-2d19176\" id=\"projektziele\" data-block-id=\"2d19176\"><h2 class=\"stk-block-heading__text\">Project goals<\/h2><\/div>\n\n\n\n<p id=\"unser-angebot\">The aim of the project is to research and develop cross-context methods of artificial intelligence that enable the recognition of anomalies for real-world use cases and deliver reliable results even when data is scarce. Data scarcity can mean both a lack of annotated data and an insufficient amount of data. In particular, difficult application contexts (low error rate, safety-critical applications, etc.) can lead to a small amount of data. The following questions are therefore addressed in the project presented:<\/p>\n\n\n\n<ul id=\"unser-angebot\" class=\"wp-block-list\">\n<li>What strategies are there to solve the problem of detecting anomalies when no data is available?<\/li>\n\n\n\n<li>Is it possible to develop AI systems that deliver reliable results in real contexts even when there is a lack of data?<\/li>\n\n\n\n<li>To what extent is the lack of data not a problem for the performance of the AI system?<\/li>\n\n\n\n<li>To what extent can the models developed be transferred beyond the actual application context to other cases?<\/li>\n<\/ul>\n\n\n\n<div class=\"wp-block-stackable-heading stk-block-heading stk-block-heading--v2 stk-block stk-794abf5\" id=\"unser-angebot\" data-block-id=\"794abf5\"><h2 class=\"stk-block-heading__text\">Our offer<\/h2><\/div>\n\n\n\n<ul id=\"unser-angebot\" class=\"wp-block-list\">\n<li>Results of research activities based on the use cases proposed by the consortium companies<\/li>\n\n\n\n<li>Results based on best-practice approaches and the current state of specialist literature<\/li>\n\n\n\n<li>Investigation of the transferability of developed methods to company-specific use cases <\/li>\n\n\n\n<li>Interdisciplinary exchange within the project consortium (development of a network of interests)<\/li>\n\n\n\n<li>Direct participation in the latest research results<\/li>\n<\/ul>\n\n\n\n<div class=\"wp-block-stackable-heading stk-block-heading stk-block-heading--v2 stk-block stk-b802b77\" id=\"unser-angebot\" data-block-id=\"b802b77\"><h2 class=\"stk-block-heading__text\">Your participation<\/h2><\/div>\n\n\n\n<p id=\"unser-angebot\">Your participation in the project is free of charge and, following a selection process, is open to all companies that<\/p>\n\n\n\n<ul id=\"unser-angebot\" class=\"wp-block-list\">\n<li>have their registered office or activities in Baden-W\u00fcrttemberg, <\/li>\n\n\n\n<li>use cases in the context of the research project,<\/li>\n\n\n\n<li>be able to provide data if possible<\/li>\n\n\n\n<li>and enjoy interdisciplinary exchange.<\/li>\n<\/ul>\n\n\n\n<div class=\"wp-block-stackable-heading stk-block-heading stk-block-heading--v2 stk-block stk-a6f09e1\" id=\"unser-angebot\" data-block-id=\"a6f09e1\"><h2 class=\"stk-block-heading__text\">What is not included?<\/h2><\/div>\n\n\n\n<p id=\"unser-angebot\">However, participation in the consortium does not include financial support for the company's contribution to participation in the project or costs for its own hardware and software.<\/p>\n\n\n\n<div class=\"wp-block-stackable-heading stk-block-heading stk-block-heading--v2 stk-block stk-b3c46ab\" id=\"unser-angebot\" data-block-id=\"b3c46ab\"><h2 class=\"stk-block-heading__text\">Project planning<\/h2><\/div>\n\n\n\n<p id=\"unser-angebot\">The project will start in January 2022 and run for 12 to 18 months. The project is expected to end in June 2023.<\/p>\n\n\n\n<div class=\"wp-block-stackable-image stk-block-image has-text-align-left stk-block stk-0012448\" data-block-id=\"0012448\"><style>.stk-0012448 .stk-img-figcaption{font-size:12px !important;}.stk-0012448 .stk-img-wrapper{width:698px !important;}@media screen and (max-width:999px){.stk-0012448 .stk-img-figcaption{font-size:12px !important;}}<\/style><figure><span class=\"stk-img-wrapper stk-image--shape-stretch stk--has-lightbox\"><img loading=\"lazy\" decoding=\"async\" class=\"stk-img wp-image-2965\" src=\"https:\/\/www.ki-fortschrittszentrum.de\/wp-content\/uploads\/2025\/09\/KI-Fortschrittszentrum_309_AIS_Supervised-Autonomy_Teaser-scaled.jpg\" width=\"2560\" height=\"1707\" alt=\"Illustration wiring harness, source: msk.nina\/Adobe Stock\" srcset=\"https:\/\/www.ki-fortschrittszentrum.de\/wp-content\/uploads\/2025\/09\/KI-Fortschrittszentrum_309_AIS_Supervised-Autonomy_Teaser-scaled.jpg 2560w, https:\/\/www.ki-fortschrittszentrum.de\/wp-content\/uploads\/2025\/09\/KI-Fortschrittszentrum_309_AIS_Supervised-Autonomy_Teaser-400x267.jpg 400w, https:\/\/www.ki-fortschrittszentrum.de\/wp-content\/uploads\/2025\/09\/KI-Fortschrittszentrum_309_AIS_Supervised-Autonomy_Teaser-698x465.jpg 698w, https:\/\/www.ki-fortschrittszentrum.de\/wp-content\/uploads\/2025\/09\/KI-Fortschrittszentrum_309_AIS_Supervised-Autonomy_Teaser-768x512.jpg 768w, https:\/\/www.ki-fortschrittszentrum.de\/wp-content\/uploads\/2025\/09\/KI-Fortschrittszentrum_309_AIS_Supervised-Autonomy_Teaser-1536x1024.jpg 1536w, https:\/\/www.ki-fortschrittszentrum.de\/wp-content\/uploads\/2025\/09\/KI-Fortschrittszentrum_309_AIS_Supervised-Autonomy_Teaser-2048x1365.jpg 2048w, https:\/\/www.ki-fortschrittszentrum.de\/wp-content\/uploads\/2025\/09\/KI-Fortschrittszentrum_309_AIS_Supervised-Autonomy_Teaser-18x12.jpg 18w\" sizes=\"auto, (max-width: 2560px) 100vw, 2560px\" \/><\/span><figcaption class=\"stk-img-figcaption\">Figure 2: Project planning; in a first phase, which will take place in the last quarter of 2021, the research consortium, consisting of at least four companies, will be established. Source: Fraunhofer IPA<\/figcaption><\/figure><\/div>\n<\/div><\/div><\/div>\n<\/div><\/div>\n\n\n\n<p><\/p>","protected":false},"excerpt":{"rendered":"<p>Research on AI anomaly detection with limited data sets aims to develop and test efficient methods for identifying anomalies in various industries despite data scarcity.<\/p>","protected":false},"author":4,"featured_media":2430,"template":"","format":"standard","meta":{"_acf_changed":true,"_gspb_post_css":".gspb_container-id-gsbp-1fa6a74,.gspb_container-id-gsbp-933ef16{flex-direction:column;box-sizing:border-box}#gspb_container-id-gsbp-1fa6a74.gspb_container>p:last-of-type,#gspb_container-id-gsbp-933ef16.gspb_container>p:last-of-type{margin-bottom:0}#gspb_container-id-gsbp-1fa6a74.gspb_container,#gspb_container-id-gsbp-933ef16.gspb_container{position:relative;background-color:var(--wp--preset--color--palette-color-11, var(--theme-palette-color-11, #006e92))}#gspb_container-id-gsbp-933ef16.gspb_container{margin-bottom:0;padding:24px 24px 0}#gspb_container-id-gsbp-1fa6a74.gspb_container{display:block;margin:0;padding:24px}"},"bereich":[20],"institut":[],"projektformat":[12],"class_list":["post-2981","projekt","type-projekt","status-publish","format-standard","has-post-thumbnail","hentry","bereich-entwicklung-innovation","projektformat-ai-innovation-seed"],"blocksy_meta":[],"acf":[],"_links":{"self":[{"href":"https:\/\/www.ki-fortschrittszentrum.de\/en\/wp-json\/wp\/v2\/projekt\/2981","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.ki-fortschrittszentrum.de\/en\/wp-json\/wp\/v2\/projekt"}],"about":[{"href":"https:\/\/www.ki-fortschrittszentrum.de\/en\/wp-json\/wp\/v2\/types\/projekt"}],"author":[{"embeddable":true,"href":"https:\/\/www.ki-fortschrittszentrum.de\/en\/wp-json\/wp\/v2\/users\/4"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.ki-fortschrittszentrum.de\/en\/wp-json\/wp\/v2\/media\/2430"}],"wp:attachment":[{"href":"https:\/\/www.ki-fortschrittszentrum.de\/en\/wp-json\/wp\/v2\/media?parent=2981"}],"wp:term":[{"taxonomy":"bereich","embeddable":true,"href":"https:\/\/www.ki-fortschrittszentrum.de\/en\/wp-json\/wp\/v2\/bereich?post=2981"},{"taxonomy":"institut","embeddable":true,"href":"https:\/\/www.ki-fortschrittszentrum.de\/en\/wp-json\/wp\/v2\/institut?post=2981"},{"taxonomy":"projektformat","embeddable":true,"href":"https:\/\/www.ki-fortschrittszentrum.de\/en\/wp-json\/wp\/v2\/projektformat?post=2981"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}