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19/09/2023, 09:00
Welcome Desk at the Foyer of the Alte Mensa
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19/09/2023, 09:45
Welcome by Prof. Ramin Yahyapour
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Kazuhiro Kosuge (Tohoku University / The University of Hong Kong)19/09/2023, 10:00Joint Session
Robotics and AI are often thought of as science. The Robotics Society of Japan is "Nippon Robotto Gakkai" in Japanese. "Nippon" means "Japan", "Robotto" means "robot", and "Gakkai" is the combination of two words, "Gaku" and "Kai". "Kai" means "society" in English, but "Gaku" is neither "science" nor "technology". "Gaku" means disciplines related to the field. "Robotto Gaku" means disciplines...
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Wolf-Dieter Richter (University of Rostock, Institute of Mathematics)19/09/2023, 11:30Joint Session
The generalizations of complex numbers considered here differ from well-known generalizations such as quaternions, octonions, bicomplex and multicomplex numbers and Clifford algebras, to name some of the well-known ones, in at least two fundamental respects.
First of all, products of elements of such traditional algebraic structures are explained by the fact that certain expressions in...
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Kazuya Yoshida (Tohoku University)19/09/2023, 13:45Robotics
In Space Robotics Lab (SRL) at Tohoku University, Japan, we are developing heterogeneous multi-robot systems for lunar/planetary exploration. So far, robotic exploration missions on the surface of the Moon and remote planets have been conducted by a single capable mobile robot. But if deploying multiple robots, we expect advanced performance in terms of increased coverage areas, accuracy of...
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Benjamin Eltzner (MPI NAT Göttingen)19/09/2023, 14:05Statistics
Features measured from a protein ensemble, like atom distances, are often not recovered on average in molecular dynamics simulations due to imperfections in the simulated force fields. To remedy this problem, various ensemble refinement methods have been developed. We approach the problem from the maximum entropy point of view, in order to determine a least biased force field modification for...
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Terry Lima Ruas (CIDAS)19/09/2023, 14:25Data Science
We introduce AI Usage Cards, a standardized way to report the use of AI in scientific research. Our model and cards allow users to reflect on key principles of responsible AI usage. They also help the research community trace, compare, and question various forms of AI usage and support the development of accepted community norms.
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Lars Lammers (Georg-August Universität Göttingen)19/09/2023, 14:45Joint Session
Statistical inference in the field of phylogenetics requires the adaptiion of many classical methods to more general metric frameworks. The Fréchet-mean of a probability distribution is a generalisation of the expectation to metric spaces. It has been observed that the sample mean of certain probability distributions in Billera-Holmes-Vogtmann (BHV) phylogenetic spaces is confined to a...
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Stefanie Mühlhausen (GWDG)19/09/2023, 15:45Data Science
KISSKI, a pioneering force in AI research and services, centres its efforts on sensitive and critical infrastructures. Collaborating with experts spanning medicine, energy, and AI domains, KISSKI is dedicated to forging a robust AI service centre. Its holistic range of provisions, encompassing hardware, software, consultancy, and training, is poised to empower SMEs, start-ups, and research...
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Yasuhisa Hirata (Tohoku University)19/09/2023, 16:05Robotics
This talk introduces our Moonshot project which is a project in the National Research and Development (R&D) program in Japan. The Moonshot program promotes high-risk, high-impact R&D aiming to achieve ambitious Moonshot Goals and solve issues facing future society such as super-aging populations. Our project is accepted under the Moonshot Goal 3: Realization of AI robots that autonomously...
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Katja Mombaur (KIT)19/09/2023, 16:25Robotics
In this talk, I will give an overview of ongoing and planned research of my new chair "Optimization and Biomechanics for Human-Centred Robotics" at KIT and my CERC "Human-Centred Robotics and Machine Intelligence" at the University of Waterloo.
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Human-centred robots are predicted to have a large societal impact in the future, e.g. in form of humanoid robots supporting people in dangerous or... -
Hiroaki Funayama (Tohoku University)19/09/2023, 16:45Data Science
The rapid advancement of Artificial Intelligence (AI) technologies has increased interest in their application within educational contexts. In particular, Short Answer Scoring (SAS), which focuses on the automated assessment of brief, descriptive answers, is attracting increasing attention. The primary reasons for researching SAS include reducing grading costs and facilitating real-time,...
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Yuichiroh Matsubayashi (Tohoku University)20/09/2023, 09:00Data Science
The rapid advancement of large-scale language models (LLMs) is
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bringing about a transformative era in language processing technology.
Traditionally, developing models that are capable of effectively
handling language expressions with the same level of freedom and
complexity as human intelligence has been extremely difficult.
Specifically, in the field of semantic parsing, there has been... -
Georgios Kaklamanos (GWDG)20/09/2023, 09:45Joint Session
In recent months, there has been an increasing discussion about the advances of AI Technologies and their potential effects on society, particularly the negative ones.
In this talk, we will start with an overview of the current field of AI Safety and present the most prominent research agendas. Then, we will move on to interpretability research, specifically focusing on "Discovering Latent...
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Masanori Suganuma (Tohoku University)20/09/2023, 11:00Data Science
We stand at the threshold of a transformative period, defined by the remarkable advancements in large language models (LLMs). Given their prowess, there's a burgeoning interest in expanding LLMs to vision and language (VL) tasks, where models harness the capabilities of LLMs to analyze both visual and textual data concurrently.
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In this talk, I will introduce our research that delves into... -
Naoya Chiba (Tohoku University)20/09/2023, 11:45Data Science
Since the use of point cloud data by deep learning has become widespread, research on neural networks for handling point clouds and methods for handling 3D data has been focused in this research area. When data points are not arranged on a grid and are not sequential, they are referred to as "irregular data structures". For such data, including point clouds, graphs, and tabular data, it is...
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Ahmed Alsayed (University of Milan)20/09/2023, 13:45Data Science
Recently, the penalized regularization regression methods have been extensively studied in the literature, but it is still difficult to generalize a method to be applied in various applications, particularly that suffer from heterogeneity and collinearity. Due to that, we compare the developed machine learning methods using numerical simulations for various senario. The applied methods in this...
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Tim Friede (UMG)20/09/2023, 14:05Data Science
In medicine, artificial intelligence (AI) and machine learning (ML) promise vast advances. We start by providing an overview of current applications of AI and ML in cardiovascular medicine. Furthermore, we will provide an example for the development and validation of an explainable ML model from cardiovascular medicine. Finally, we discuss the role of statistics in AI/ML applications.
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Alice Violaine Saletta (Tohoku University)20/09/2023, 14:25Robotics
Alice Violaine Saletta, Gustavo Hernan Diaz, Shreya Santra and Kazuya Yoshida
Department of Aerospace Engineering, Tohoku University, Japan“Teaching by showing” is a topic that has been widely explored in the history of robotics research. The idea of having a system that can understand what action is performed by a human using its sight and make a robot able to reproduce it is indeed an...
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25. A Measure of the Complexity of Neural Representations based on Partial Information DecompositionDavid Alexander Ehrlich (Campus Institute for Dynamics of Biological Networks)20/09/2023, 14:45Joint Session
Despite their widespread adoption, the inner workings of Deep Neural Networks (DNNs) remain largely unknown. One key aspect of DNN learning is how the hidden layers' activation patterns encode the ground-truth label that the network is supposed to predict. This task-relevant information is represented jointly by groups of neurons within a layer. However, the specific way in which this mutual...
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Dr Minija Tamosiunaite (University of Goettingen)20/09/2023, 15:45Robotics
Current deep-learning-based AI allows integrating a lot of written material humans have created over generations and helps people in abstracting information, learning, making decisions, etc. However if this type of AI is directly transferable to robots is not yet clear. In order to act in some environment, robots have to cover the gap between continuous sensing and action on one side and the...
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Tomonori Hayami (Cybermedia Center, Osaka University)20/09/2023, 16:05Data Science
With the progress of machine learning and artificial intelligence, various research is being conducted in dentistry to support diagnosis and treatment, prevent medical errors, and improve patients' QOL by introducing these technologies. In order to infer the contents of dental treatment and acquire feature representations of surgeons’ behavior, the Joint Research Department for Oral Data...
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Andreas Schneider (Max Planck Institute for Dynamics and Self-Organization)20/09/2023, 16:25Statistics
Neural networks rely on coordination among individual neurons to perform complex tasks, but in the brain, they must operate within the constraints of locality for both computation and learning. Our research uses an information-theoretic approach to better understand how locality affects neural networks' structure and operation. We employ Partial Information Decomposition (PID) to quantify...
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20/09/2023, 17:15
In order to continue the exchange and lively discussion we invite you to stay at the venue a bit longer. We will provide some drinks and finger food in the foyer of the Alte Mensa.
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21/09/2023, 11:15
Joint session with AI conference participants and presidents on “What Opportunities and Challenges does Artificial Intelligence offer to the Higher Education Sector?”
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The panel consist of the presidents of the HeKKSaGOn partner universities. -
Sven Bingert (GWDG)Data Science
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