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Text Content

 * 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

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