{"id":44184,"date":"2026-07-10T11:59:55","date_gmt":"2026-07-10T09:59:55","guid":{"rendered":"https:\/\/www.l3s.de\/?p=44184"},"modified":"2026-07-10T11:59:57","modified_gmt":"2026-07-10T09:59:57","slug":"marcel-wever-secures-funding-for-ai-research-group","status":"publish","type":"post","link":"https:\/\/www.l3s.de\/de\/marcel-wever-secures-funding-for-ai-research-group\/","title":{"rendered":"Marcel Wever erh\u00e4lt F\u00f6rderung f\u00fcr KI-Forschungsgruppe"},"content":{"rendered":"<p class=\"wp-block-paragraph\">Gro\u00dfer Erfolg f\u00fcr <a href=\"https:\/\/www.l3s.de\/de\/people\/research-group-leaders\/marcel-wever\/\" title=\"\">Dr. Marcel Wever<\/a> im F\u00f6rderprogramm \u201eKI-Forschungsgruppen Niedersachsen\": Sein Projekt zu energieeffizienten Grundlagenmodellen ist eines von f\u00fcnf Vorhaben, die in der ersten F\u00f6rderrunde aus 52 Antr\u00e4gen ausgew\u00e4hlt wurden.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Wever ist Forschungsgruppenleiter am L3S und Postdoktorand am Institut f\u00fcr K\u00fcnstliche Intelligenz der Leibniz Universit\u00e4t Hannover. Seine KI-Forschungsgruppe \u201eTuning for FFMs: Optimizing Post-Training Pipelines for Energy-Efficient AI\" wird neue Methoden erforschen, um gro\u00dfe KI-Grundlagenmodelle energieeffizienter zu gestalten. Solche Modelle erm\u00f6glichen zwar eine leistungsstarke Automatisierung, aber ihr Betrieb ist sehr energieintensiv. Das Vorhaben soll automatisierte Verfahren entwickeln, die Post-Training-Pipelines gezielt an konkrete Aufgaben und die verf\u00fcgbare Hardware anpassen. Ziel ist es, den Energiebedarf und den Rechenaufwand deutlich zu reduzieren, ohne die Leistungsf\u00e4higkeit der Modelle wesentlich zu beeintr\u00e4chtigen. Die Ergebnisse sollen dazu beitragen, moderne KI-Anwendungen nachhaltiger, kosteng\u00fcnstiger und breiter einsetzbar zu machen.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Mit dem Angebot \u201eKI-Forschungsgruppen Niedersachsen\" wollen das Nieders\u00e4chsische Ministerium f\u00fcr Wissenschaft und Kultur und die VolkswagenStiftung exzellente Forscher in fr\u00fchen Karrierephasen f\u00fcr Niedersachsen gewinnen und die Entwicklung und Anwendung von KI im Land langfristig ausbauen. \u201eDie hohe Qualit\u00e4t der eingereichten Antr\u00e4ge hat eindrucksvoll gezeigt, wie dynamisch sich die KI-Forschung in Niedersachsen entwickelt,\u201c sagte der Nieders\u00e4chsische Wissenschaftsminister Falko Mohrs anl\u00e4sslich der Bekanntgabe der gef\u00f6rderten Forschungsgruppen Anfang Juli.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Die gef\u00f6rderten Gruppen bestehen in der Regel aus einer Postdoktorandenstelle f\u00fcr die wissenschaftliche Leitung sowie bis zu vier Promotionsstellen. Die Projekte laufen \u00fcber f\u00fcnf Jahre; pro Antrag konnten bis zu zwei Millionen Euro beantragt werden.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Weitere Informationen: <a href=\"https:\/\/zukunft.niedersachsen.de\/aktuelles\/fuenf-ki-forschungsgruppen-in-niedersachsen-ausgewaehlt\/\">Pressemitteilung von zukunft.niedersachsen<\/a><\/p>","protected":false},"excerpt":{"rendered":"<p>Great success for Dr. Marcel Wever in the &#8220;AI Research Groups Lower Saxony&#8221; funding programme: his project on energy-efficient foundation models is one of five initiatives selected in the first funding round from 52 applications. Wever is a research group leader at L3S and also a postdoctoral researcher at the Institute of Artificial Intelligence at [&hellip;]<\/p>\n","protected":false},"author":6,"featured_media":44185,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[10,178],"tags":[],"class_list":["post-44184","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news","category-people"],"acf":[],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 4.9.8 - aioseo.com -->\n\t<meta name=\"description\" content=\"Great success for Dr. Marcel Wever in the &quot;AI Research Groups Lower Saxony&quot; funding programme: his project on energy-efficient foundation models is one of five initiatives selected in the first funding round from 52 applications. 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