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* Publications * News * Press * Career * Contact * Publications * News * Press * Career * Contact * DE * About LAMARR * Team * Research * Application * Education * Blog * About LAMARR * Team * Research * Application * Education * Blog * DE * About LAMARR * Team * Research * Application * Education * Blog * News * Publications * Press * Contact * About LAMARR * Team * Research * Application * Education * Blog * News * Publications * Press * Contact Video Player 00:03 00:00 00:29 Use Up/Down Arrow keys to increase or decrease volume. LEADING THE WAY IN RESEARCH ON ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING SETTING INTERNATIONAL STANDARDS FOR TRUSTWORTHY AND SUSTAINABLE AI ADVANCING THE NEXT GENERATION OF AI APPLICATIONS EDUCATING AI EXPERTS IN SCHOOLS, UNIVERSITIES, AND COMPANIES WE COMMIT TO THE VALUES OF ETHICAL AI. PreviousNext 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. Learn more © Lamarr Institute NEWS INTERDISCIPLINARY EVENT: CS AND PHYSICS MEET-UP AT TU DORTMUND UNIVERSITY December 8th, 2023 In a research-driven meeting between the disciplines of computer science and physics, the CS & Physics Meet-up took place from... View Post AWARDED: DSIS RESEARCH GROUP OF LAMARR PI PROF. DR. DEMIDOVA RECEIVES MULTIPLE AWARDS AT ISWC 2023 November 30th, 2023 The Data Science and Intelligent Systems (DSIS) research group, led by Lamarr’s Principal Investigator Prof. Dr. Elena Demidova at the... View Post AI REVELATION IN DRUG RESEARCH: RESEARCH BY LAMARR PI PROF. DR. BAJORATH AND TEAM REVEALS SURPRISING RESULTS November 14th, 2023 In a new study, researchers at the University of Bonn, led by Prof. Dr. Jürgen Bajorath, Chair of Life Sciences... View Post More news 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. 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. © artegorov3@gmail – stock.adobe.com RESEARCH AT THE LAMARR INSTITUTE FOCUSES ON THE FOLLOWING KEY AREAS * $Hybrid Machine Learning * $Resource-aware Machine Learning * $Trustworthy Artificial Intelligence * $Embodied Artificial Intelligence * $Human-centered Systems RESEARCH FOR APPLICATION Interdisciplinary research is working towards a better understanding of our world and addresses pressing societal and economic questions of our time. For example, the Lamarr experts are investigating how the latest AI research results can provide much needed answers to pressing questions of our time – whether in medicine, environmental and climate protection or industrial production. Our interdisciplinary research is carried out in the following focus areas: * $Planning & Logistics * $Astrophysics * $Industry & Production * $Life Sciences * $Natural Language Processing (NLP) Discover more © Schaper – TU Dortmund © Anke Liepertz-Peter – Fraunhofer IAIS RECENT PUBLICATIONS SYMMETRY-AWARE SIAMESE NETWORK: EXPLOITING PATHOLOGICAL ASYMMETRY FOR CHEST X-RAY ANALYSIS H. Schneider, E. C. Yildiz, D. Biesner, Y. C. Layer, B. Wulff, S. Nowak, M. Theis, A. M. Sprinkart, U. I. Attenberger, R. Sifa, 2023 OPINIONCONV: CONVERSATIONAL PRODUCT SEARCH WITH GROUNDED OPINIONS V. S. Javadi, M. Potthast, L. Flek, 2023 CHALLENGES OF GPT-3-BASED CONVERSATIONAL AGENTS FOR HEALTHCARE F. Lechner, A. Lahnala, C. Welch, L. Flek, 2023 All publications © Parilov – stock.adobe.com TECHNOLOGY TRANSFER – BENEFITS FOR BUSINESS & INDUSTRY Companies benefit from the direct transfer of Lamarr research results into application – from access to innovative ML technologies to establishing safeguarding processes for AI systems to co-working with Lamarr researchers. Certification measures ensure that AI systems are used responsibly and support humans appropriately in diverse application domains. Discover more RECENT BLOG POSTS RESOURCE-AWARE MACHINE LEARNING: CONCEPTS FOR GREATER ENERGY EFFICIENCY December 13th, 2023 Find out more about resource-aware machine learning (RAML) and data mining in this article. We highlight the growing energy consumption... View Post SIMPLIFIED LANGUAGE FOR ALL: HOW TO CREATE A DATASET IN SIMPLE GERMAN December 6th, 2023 Machine Learning models are only as diverse as the datasets they are trained on. Learn more about the first publicly... View Post LET US BE CLEAR: WHY TEXT SIMPLIFICATION MATTERS AND WHAT ML CAN DO TO HELP November 15th, 2023 Text simplification is the key to written language accessibility. Discover what it entails, who benefits, and its link to readability... View Post All posts PROMOTING YOUNG TALENT & TRAINING AI EXPERTS Education and training are important pillars of Lamarr’s work and include educational offerings for pupils, students, young scientists as well as employees. COMMITMENT TO SOCIAL RESPONSIBILITY & VALUES Ethical standards, equal opportunity, diversity and inclusion are important guiding principles in all Lamarr activities. Naming the institute after inventor Hedy Lamarr underscores our commitment to the advancement of women, particularly in computer science and other scientific and technical fields. Discover more © Fraunhofer IAIS LAMARR Institute for Machine Learning and Artificial Intelligence © 2023 | All Rights Reserved Partner institutions: LAMARR * About * Team * Application * Career * Press * About * Team * Application * Career * Press Research Areas * Resource-aware ML * Hybrid ML * Human-centered Systems * Trustworthy AI * Embodied AI * Resource-aware ML * Hybrid ML * Human-centered Systems * Trustworthy AI * Embodied AI Fields of Application * Planning & Logistics * Astrophysics * Industry & Production * Life Sciences * Natural Language Processing * Planning & Logistics * Astrophysics * Industry & Production * Life Sciences * Natural Language Processing Knowledge * News * Publications * Research * Education * News * Publications * Research * Education Social Media * LinkedIn * YouTube * Twitter * GitHub * LinkedIn * YouTube * Twitter * GitHub Legal Information * Contact * Data Protection Information * Imprint * Contact * Data Protection Information * Imprint Institutionally funded by: BibTex Copy title={Lamarr Institute for Machine Learning and Artificial Intelligence}, abstract={ Video Player 00:03 00:00 00:29 Use Up/Down Arrow keys to increase or decrease volume. LEADING THE WAY IN RESEARCH ON ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING SETTING INTERNATIONAL STANDARDS FOR TRUSTWORTHY AND SUSTAINABLE AI ADVANCING THE NEXT GENERATION OF AI APPLICATIONS EDUCATING AI EXPERTS IN SCHOOLS, UNIVERSITIES, AND COMPANIES WE COMMIT TO THE VALUES OF ETHICAL AI. PreviousNext 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. Learn more © Lamarr Institute NEWS INTERDISCIPLINARY EVENT: CS AND PHYSICS MEET-UP AT TU DORTMUND UNIVERSITY December 8th, 2023 In a research-driven meeting between the disciplines of computer science and physics, the CS & Physics Meet-up took place from... View Post AWARDED: DSIS RESEARCH GROUP OF LAMARR PI PROF. DR. DEMIDOVA RECEIVES MULTIPLE AWARDS AT ISWC 2023 November 30th, 2023 The Data Science and Intelligent Systems (DSIS) research group, led by Lamarr’s Principal Investigator Prof. Dr. Elena Demidova at the... View Post AI REVELATION IN DRUG RESEARCH: RESEARCH BY LAMARR PI PROF. DR. BAJORATH AND TEAM REVEALS SURPRISING RESULTS November 14th, 2023 In a new study, researchers at the University of Bonn, led by Prof. Dr. Jürgen Bajorath, Chair of Life Sciences... View Post More news 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. 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. © artegorov3@gmail – stock.adobe.com RESEARCH AT THE LAMARR INSTITUTE FOCUSES ON THE FOLLOWING KEY AREAS * $Hybrid Machine Learning * $Resource-aware Machine Learning * $Trustworthy Artificial Intelligence * $Embodied Artificial Intelligence * $Human-centered Systems RESEARCH FOR APPLICATION Interdisciplinary research is working towards a better understanding of our world and addresses pressing societal and economic questions of our time. For example, the Lamarr experts are investigating how the latest AI research results can provide much needed answers to pressing questions of our time – whether in medicine, environmental and climate protection or industrial production. Our interdisciplinary research is carried out in the following focus areas: * $Planning & Logistics * $Astrophysics * $Industry & Production * $Life Sciences * $Natural Language Processing (NLP) Discover more © Schaper – TU Dortmund © Anke Liepertz-Peter – Fraunhofer IAIS RECENT PUBLICATIONS SYMMETRY-AWARE SIAMESE NETWORK: EXPLOITING PATHOLOGICAL ASYMMETRY FOR CHEST X-RAY ANALYSIS H. Schneider, E. C. Yildiz, D. Biesner, Y. C. Layer, B. Wulff, S. Nowak, M. Theis, A. M. Sprinkart, U. I. Attenberger, R. Sifa, 2023 OPINIONCONV: CONVERSATIONAL PRODUCT SEARCH WITH GROUNDED OPINIONS V. S. Javadi, M. Potthast, L. Flek, 2023 CHALLENGES OF GPT-3-BASED CONVERSATIONAL AGENTS FOR HEALTHCARE F. Lechner, A. Lahnala, C. Welch, L. Flek, 2023 All publications © Parilov – stock.adobe.com TECHNOLOGY TRANSFER – BENEFITS FOR BUSINESS & INDUSTRY Companies benefit from the direct transfer of Lamarr research results into application – from access to innovative ML technologies to establishing safeguarding processes for AI systems to co-working with Lamarr researchers. Certification measures ensure that AI systems are used responsibly and support humans appropriately in diverse application domains. Discover more RECENT BLOG POSTS RESOURCE-AWARE MACHINE LEARNING: CONCEPTS FOR GREATER ENERGY EFFICIENCY December 13th, 2023 Find out more about resource-aware machine learning (RAML) and data mining in this article. We highlight the growing energy consumption... View Post SIMPLIFIED LANGUAGE FOR ALL: HOW TO CREATE A DATASET IN SIMPLE GERMAN December 6th, 2023 Machine Learning models are only as diverse as the datasets they are trained on. Learn more about the first publicly... View Post LET US BE CLEAR: WHY TEXT SIMPLIFICATION MATTERS AND WHAT ML CAN DO TO HELP November 15th, 2023 Text simplification is the key to written language accessibility. Discover what it entails, who benefits, and its link to readability... View Post All posts PROMOTING YOUNG TALENT & TRAINING AI EXPERTS Education and training are important pillars of Lamarr’s work and include educational offerings for pupils, students, young scientists as well as employees. COMMITMENT TO SOCIAL RESPONSIBILITY & VALUES Ethical standards, equal opportunity, diversity and inclusion are important guiding principles in all Lamarr activities. Naming the institute after inventor Hedy Lamarr underscores our commitment to the advancement of women, particularly in computer science and other scientific and technical fields. Discover more © Fraunhofer IAIS }}