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The Lamarr Institute for Machine Learning and Artificial IntelligenceThe Lamarr Institute focuses on the research and development of high-performance, trustworthy, and resource-efficient applicationsThe Lamarr Institute for Machine Learning and Artificial Intelligence Lamarr  About Lamarr  Team  Career  Press  Current  Current Overview News  Events  Research Research Overview Hybrid ML Resource-aware ML Trustworthy AI Human-centered Systems  Embodied AI Planning & Logistics  Physics  Industry & Production  Life Sciences & Health Natural Language Education  Transfer Publications Blog  Contact  EN DE Skip to content Publications Blog  Contact  Search DE Lamarr  Team NetworkLamarr AwardCareer Press  Current  News Events  Research Research areas Hybrid ML Resource-aware ML Trustworthy AI Human-centered AI Systems Embodied AI Planning & Logistics  Physics  Industry & Production  Life Sciences & Health Natural Language Processing Education Transfer Menu Home Leading International Research on Artificial Intelligence and Machine Learning ResearchData, Knowledge, ContextResearchers at the Lamarr Institute are dedicating themselves to Machine Learning and Artificial Intelligence in order to create the AI applications of the future based on data, expert knowledge and contextual information.About our researchEducationTalent for the FutureOur goal is to educate the next generation of AI experts at the highest level. We promote talent in schools, universities as well as professional education and training – for a career in science or business.To our educational initiativesTransferImpulses for InnovationWe are shaping the future of European AI: By combining cutting-edge research and practical experience in companies, we develop powerful, trustworthy and sustainable AI solutions – for business and society.To our transfer offers AI26 The Lamarr Conference Join AI26 – The Lamarr Conference, the flagship event for leading AI researchers, innovators, and decision-makers. AI26 brings together those shaping scientific foundations and those translating AI advances into real-world impact. More about AI26 Current News and Events AllNewsEventsProjects News 02. February 2026 AALearning project launches to advance safe and reliable AI in fundamental physics The research project AALearning (Adversarial and Uncertainty-Aware Learning) has officially started with its kick-off collaboration meeting this week. Funded by the German Federal Ministry of… News 28. January 2026 New cooperation strengthens international AI research at Lamarr The Lamarr Institute, the University of Bonn, and the Nara Institute of Science and Technology (NAIST) have launched a long-term research collaboration in artificial intelligence, life sciences, and… News 26. January 2026 Scaling laws of emergent multilingualism in vision-language models New research identifies scaling laws that explain how vision-language models develop emergent multilingual image captioning abilities through generalization from translation data, even without… News 22. January 2026 Prof. Dr. Julia Tjus elected to the Royal Swedish Academy of Sciences Prof. Dr. Julia Tjus has been appointed as an international member of the Royal Swedish Academy of Sciences. Her work at the interface of theoretical physics and artificial intelligence strengthens… News 20. January 2026 Physics-LLM: New research project within the ErUM-Data funding initiative Funded by the German Federal Ministry of Research, Technology and Space (BMFTR), Physics-LLM is an ErUM-Data research project developing AI-based tools using large language models to improve research… News 22. December 2025 Lamarr researcher Prof. Dr. Petra Wiederkehr elected to the German Academy of Science and Engineering (acatech) Lamarr Principal Investigator Petra Wiederkehr has been elected to Germany’s National Academy of Science and Engineering (acatech)…. News 03. December 2025 RePAIR brings Pompeii’s frescoes back to life The European research project RePAIR – Reconstructing the Past combines robotics, AI, and computer vision to reconstruct ancient frescoes from Pompeii using an AI-supported method that digitally… News 30. November 2025 Award for sustainable AI research Award-winning research on sustainable large language models recognized by TU Dortmund for advancing energy-efficient and transparent AI… News 25. November 2025 New access to quantum computing Open-access textbook presenting an intuitive quantum computing introduction by bridging AI fundamentals, Hopfield networks, and practical Python… News 21. November 2025 JUPITER selects first AI projects Bonn’s Lamarr Institute wins JUPITER Gauss-AI selection: Prof. Gall’s HoMe project advances generative AI, robotics, and human-motion video models…. Pages: 12345678910Load More The Lamarr Institute for Machine Learning and Artificial Intelligence The scientists of the Lamarr Institute are dedicated to research and development in the field of Machine Learning (ML) and Artificial Intelligence (AI). We create the future of European AI: Combining leading research with hands-on experience in business application, we develop high-performing, trustworthy and sustainable AI solutions. Our research activities are based on the central paradigm ‘Triangular AI’ (AI3) – a new and high-performance generation of Artificial Intelligence that is not only trained based on data, but also uses additional knowledge and contextual information. Learn more Sustained excellence in research is only possible with sustained excellence in educating the next generation of highly qualified scientists. Prof. Dr. Christian BauckhageDirector Lamarr Institute Leading International AI Research Internationally renowned researchers work with the best young talents in AI to investigate how Machine Learning algorithms, models and applications need to be designed in order to deliver more powerful yet reliable, trustworthy results. We conduct our research and development in a way that software and hardware operate in a sustainable and resource-efficient manner. Hybrid Machine Learning Hybrid Machine Learning aims at an integrated treatment of empirical data, world knowledge, and application contexts. read more Resource aware ML Resource-aware Machine Learning aims to adapt technologies to save energy, memory and computational resources read more Trustworthy AI Trustworthy AI builds on robust, verifiable procedures and forms the basis for certifying AI applications. read more Human centered AI Human-centered AI Systems are designed to interact with humans and deliver explainable and comprehensible results. read more Embodied AI Embodied Artificial Intelligence refers to AI that is embedded in physical systems, such as robots, and can interact with the surroundings. read more Planning & Logistics AI solutions help optimize transportation and mobility processes and save resources. read more Physics Using ML methods, large data quantities are analyzed and evaluated thus providing new insights into the physical world. read more Industry & Production AI allows the use of machine models and production data for intelligent control and increased efficiency. read more Life Sciences & Health AI is revolutionizing medicine, accelerating drug development, and assisting in the study of biological systems. read more Natural Language Processing Understanding spoken and written language is the basis for many AI applications that facilitate our everyday lives. read more Blog on Machine Learning and Artificial Intelligence Here, researchers have their say: The ML blog of the Lamarr Institute addresses current developments and trends and explains the scientific background. Discover the latest articles from the categories basics, research and application! AllBasicsResearchApplication BlogResearch Streaming Gradient Boosting: Pushing Online Learning Beyond its Limits Dr. Nuwan Gunasekara, 04. February 2026 Streaming Gradient Boosting (SGB) brings gradient boosting to evolving data streams—adapting models to concept drift in real time with strong accuracy and efficiency across classification and regression tasks. BlogResearch Green Online Learning with Heterogeneous Ensembles Kirsten Köbschall, 29. January 2026 What if greener AI could also be more accurate? Discover how heterogeneous online ensembles like HEROS boost performance, cut resource costs, and adapt instantly to evolving data streams. BlogBasics Learning From Data Streams: Foundations of Stream Learning Dr. Sebastian Buschjäger, 21. January 2026 Data never stops — so how do models keep up? This opening post introduces stream learning, concept drift, and real-time adaptation for continuously evolving data streams. BlogApplication Fine-Tuning a Low-Resource Language: Training the Whisper Model on Marathi Dr. Rishikesh Pandit, 12. November 2025 A wide gap still separates how well an English or German ASR model would transcribe especially on heavy accented or non-native speech and similar in case of Marathi or other low resource languages. Can we overcome this shortcoming? If yes, how? BlogApplication From Sketches to Digital Warehouse Layout with the WarehouseDesigner Christian Pionzewski, Maximilian Otten, Anike Murrenhoff, 29. October 2025 AI is changing warehouse planning: WarehouseDesigner transforms simple sketches into digital, optimized warehouse layouts in seconds, accelerating the planning of modern warehouse systems. BlogResearch Why Fine-Tuning ASR Still Fails Low-Resource Languages – and How We Can Fix It Dr. Rishikesh Pandit, 15. October 2025 Fine-tuning ASR models remains complex for low-resource languages. Using Marathi, we explore the linguistic, technical, and ethical barriers – and how to overcome them for more inclusive speech technology. BlogResearch AI Labels – How They Can Provide Guidance and Build Trust Katharina Poitz, Raphael Fischer, 23. July 2025 AI labels can bridge communication gaps and promote trust in AI. A user study shows that they are clear, comparable, and accessible to experts and people without a technical background, helping them to make sustainable, informed decisions. BlogBasics How AI Helped to Spot Neutrinos from our Galaxy Jana Konrad, 09. July 2025 The IceCube Neutrino Observatory could finally detect neutrinos from the Milky Way. That was possible thanks to new AI tools, which enabled a more accurate analysis of the observed events. BlogResearch The FRIES Trust Score: How AI Trustworthiness Can Be Quantified 11. June 2025 How can the trustworthiness of AI models be measured objectively and systematically? The FRIES Trust Score offers a structured approach to enhance transparency and comparability in models and datasets. BlogApplication Computer Vision in Yard Logistics: Robust Object Tracking in Real Time Christian Pionzewski, Antonia Ponikarov, 22. May 2025 Want smarter logistics? Real-time object tracking with computer vision boosts efficiency, delivers actionable insights, and tackles key challenges. Discover tech and use cases. BlogBasics Fine-Tuning ASR Models: Enhancing Accuracy and Adaptability for Specific Tasks Dr. Rishikesh Pandit, 30. April 2025 Fine-tuning improves pre-trained ASR models for specific tasks, adapting them to new languages, accents, and domains. This process enhances accuracy in the direction of interest, while requiring less computational cost than training models from scratch. BlogResearch Action Space Design – Reinforcement Learning for Robot Motor Skills 09. April 2025 Practitioners typically rely on intuition to choose action spaces for robot learning tasks. This study examines action space selection across various tasks and robots, offering practical guidelines for the robot learning community. Pages: 12345678910111213Load More About us Lamarr  Team  Career  Press  Research areas Hybrid ML Resource-aware ML Trustworthy AI Human-centered AI Systems  Embodied AI Interdisciplinary research Planning & Logistics  Physics  Industry & Production  Life Sciences & Health Natural Language Processing Knowledge Publications Blog  Education  Latest news Current  News  Events  Application Transfer Information Contact  Data protection Imprint Social networks Linkedin YouTube GitHub Instagram Partner organizations Institutionally funded by Lamarr Institute for Machine Learning and Artificial Intelligence © 2026 | All Rights Reservedenusen-UShttps://lamarr-institute.org

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