Lamarr Institute Blog
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Lamarr Institute's blog on Machine Learning and Artificial Intelligence, or ML Blog for short, gives you first-hand insights and orientation. The posts of the ML-Blog are written by researchers from the Lamarr Institute and its partner organizations, guest authors, and users from practice.
Lamarr Institute Blog
3w ago
The Lamarr Institute for Machine Learning and Artificial Intelligence is pleased to announce the appointment of Professor Jakob Rehof as its new director, effective April 1, 2024.
Professor Rehof brings a wealth of experience from both academia and industry to his new role. Since 2006, he has served as a Professor of Computer Science at TU Dortmund University, where he also holds the Chair of Software Engineering. His commitment to advancing the field of computer science is evident in his extensive research contributions.
Having obtained his doctoral degree from the Department of Computer Scie ..read more
Lamarr Institute Blog
3w ago
Prof. Dr. Asja Fischer from Ruhr University Bochum and Prof. Dr. Milica Gašić from Heinrich Heine University Düsseldorf have been named Lamarr Fellows in the third selection round of the “Lamarr Fellow Network Ramp Up”. Together with Prof. Dr. Barbara Hammer (Bielefeld University), Prof. Dr. Axel-Cyrille Ngonga Ngomo (Paderborn University), Prof. Dr. Michael Möller (University of Siegen) and Prof. Dr. Arnulf Jentzen (University of Münster), the two experts in generative AI models for image and natural language processing form the excellent Fellow Network.
North Rhine-Westphalian (NRW) Science ..read more
Lamarr Institute Blog
3w ago
North Rhine-Westphalia’s Minister President Hendrik Wüst visited the Humanoid Robots Lab at the University of Bonn, led by Lamarr Principal Investigator (PI) Prof. Dr. Maren Bennewitz. The focus was on groundbreaking research projects that advance the integration of robotics and Artificial Intelligence (AI), enriching and shaping daily life in various ways.
During his visit, Minister President Wüst emphasized North Rhine-Westphalia’s central role as a leading hub for innovations and praised the fascinating research projects in robotics and AI. He particularly commended the commitment of the Hu ..read more
Lamarr Institute Blog
3w ago
Lamarr partner institution Fraunhofer Institute for Material Flow and Logistics IML and its managing director, Prof. Dr. Dr. h.c. Michael ten Hompel, received the Dortmund Dialog Prize 2024. On February 6 they were honored for their significant contributions to the structural transformation and innovation prowess of the city of Dortmund. The award was presented by the Society for the Promotion of Structural Change in the Working Society (GFS), acknowledging Prof. ten Hompel’s active and communicative role in the Dortmund community. The award ceremony featured a laudation by Ina Brandes, Minist ..read more
Lamarr Institute Blog
3w ago
Marius Brehler, together with his colleague Lucas Camphausen, has been awarded with a Best Paper Award at the 2023 IEEE 16th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC). Their paper “Combining Decision Tree and Convolutional Neural Network for Energy Efficient On-Device Activity Recognition” explores a hybrid, hierarchical architecture that successfully reduced energy consumption for activity recognition tasks.
Activity recognition is the process of automatically identifying and classifying activities. This and the sub-problem of motion classification can b ..read more
Lamarr Institute Blog
3w ago
Helen Schneider, Elif Cansu Yildiz and Prof. Dr. Rafet Sifa, together with other scientists from the Lamarr Institute and the University Hospital Bonn, have won a Best Paper Award for the publication of their results on the use of Machine Learning for the diagnosis of lung diseases. The award was granted in the context of the International Conference on Artificial Neural Networks (ICANN) 2023.
To diagnose lung diseases such as pneumonia, doctors often evaluate X-ray images of their patients’ chest. Tools based on Artificial Intelligence (AI) can assist in the evaluation of X-ray images and thu ..read more
Lamarr Institute Blog
3w ago
In a research-driven meeting between the disciplines of computer science and physics, the CS & Physics Meet-up took place from November 29 to December 1, 2023 at the Lamarr site at the Technical University of Dortmund. Over a period of three days, top-class researchers from the fields of computer science, specializing in Machine learning and Artificial intelligence, as well as physicists, especially with a focus on particle physics, astro(-particle) physics and radio astronomy, met at the Lamarr Institute.
The event, organized by the interdisciplinary Lamarr research area Astrophysics unde ..read more
Lamarr Institute Blog
3w ago
The Data Science and Intelligent Systems (DSIS) research group, led by Lamarr’s Principal Investigator Prof. Dr. Elena Demidova at the University of Bonn and the Lamarr Institute, has accomplished a remarkable achievement at the 22nd International Semantic Web Conference (ISWC 2023). Two DSIS research papers won the conference’s most prestigious paper awards.
The Best Research Track Paper Award was given to the paper “Spatial Link Prediction with Spatial and Semantic Embeddings” by Genivika Mann, Alishiba Dsouza, Ran Yu, and Elena Demidova.
This work addresses a critical limitation of ge ..read more
Lamarr Institute Blog
3w ago
In a new study, researchers at the University of Bonn, led by Prof. Dr. Jürgen Bajorath, Chair of Life Sciences and Principal Investigator at the Lamarr Institute for Machine Learning and Artificial Intelligence, have published groundbreaking findings in the field of artificial intelligence (AI) in drug discovery. The research, published in Nature Machine Intelligence, sheds new light on the functioning of AI applications that were previously perceived as a black box.
The study focused on analyzing graph neural networks (GNNs), a form of machine learning used in drug discovery for predicting d ..read more
Lamarr Institute Blog
1M ago
Science is about discovery and getting closer to understanding the natural world. The scientific method follows a process of investigating a question, formulating hypotheses, experimental testing, analysis, and conclusion reporting. Machine Learning is used in and for this process, and because most models are opaque, the need for model explanations has become a key concern.
In general, explanations are needed to better understand model behavior and build trust in Machine Learning predictions. However, in the sciences, the need for explanations goes beyond these points. In scientific domains, e ..read more