Stefan Menzel, Yew Ong, Yaochu Jin, Bernhard Sendhoff,
"Special Session on Generative AI and Heuristic Optimization",
IEEE Congress on Evolutionary Computation, 2023.
Abstract
Generative AI and Large Language Models as groundbreaking technological innovations promise to redefine the boundaries of contemporary science and engineering. Their capabilities to produce e.g., context-sensitive text, knowledge-based answers, software code, images, music and 3D assets from text prompts and image inputs create opportunities for a manifold of disciplines. Through the training on large data, these models conserve knowledge, identi...
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Matti Krüger, Vanessa Krüger, Taisuke Mukai,
"Evaluation of Interfaces for Augmenting a Driver's Ability to Anticipate Front Risks in Real Traffic",
27th International Technical Conference on the Enhanced Safety of Vehicles (ESV), 2023.
Abstract
Effective alerts are often subject to a tradeoff between relevance and utility. While it is easier to acknowledge the
relevance of a warning about an imminent hazard than a more distant threat, the possibilities to act appropriately
in response to notifications decrease with threat distance. To benefit from the advantages of early notifications
without creating annoyance and ignorance, we introduce a variety of Human-Machine Interfaces that pr...
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Takahiro Matsuoka, Tsuyoshi Nojiri, Vanessa Krüger, Matti Krüger,
"Novel interfaces that enhance a driver’s ability to perceive forward collision risks",
27th International Technical Conference on the Enhanced Safety of Vehicles (ESV), 2023.
Abstract
Forward Collision Warning (FCW) systems that alert a driver about the risk of rear-end collisions can contribute to a reduction of traffic accidents caused by human errors. Typically, FCWs create alerts that appear late when the risk is already high and are of binary nature, i.e., either in an alerting state during high risk or not producing any alert at lower risks. The choice at what risk level to start alerting in a binary manner is subject to...
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Antonello Ceravola and Frank Joublin,
"Exploring AI Architectures in the Age of LLM",
Generative AI Europe 2023, 2023.
Abstract
In this talk we present at the Generative AI conference the HRI-EU institute at first, then we recap the evolution of AI in the trends of LLM and their applicability in different domains and products. We touch on the main exposed limitation of LLM and a sample of the different solution the community and the different AI companies came to. We then pick 3 investigated use-cases HRI-EU did on the usage of generative AI: Text to 3D generation in car ...
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Felix Lanfermann, Thiago Rios, Stefan Menzel,
"AI-assisted Design Optimization and Data Analysis",
Honda Technical Forum 2023, 2023.
Abstract
The current advances in generative artificial intelligence has large impact on a variety of fields, such as knowledge assessment, story writing, image and object generation, co-programming among others. The generative capabilities are especially advantageous for cooperative creativity and such will influence industrial design but also further engineering applications. Here, we provide an overview on our current research on text-to-3D models as sh...
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Andreas Neofytou, Jaeyub Hyun, Mariusz Bujny, Thiago Rios, Stefan Menzel, Hyunsun Kim,
"A Modularized Level Set Topology Optimization Methodology For Vibro-acoustic Problems",
AIAA SciTech Forum, 2023.
Abstract
A modularized level set topology optimization methodology is used to solve vibro-acoustic topology optimization problems. The main objective is to minimize the sound pressure generated by vibrating structures at predefined locations within specified frequency ranges in an interior domain. The plug-and-play style architecture provides freedom to choose from a variety of software for the solution of the governing equations. Taking advantage of this...
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Bernhard Sendhoff, Felix Ocker, Nikolay Matyunin, Stefan Menzel,
"The Future is Now? Generative AI: Introduction - Impact – Outlook
",
Honda Technical Forum 2023, 2023.
Abstract
Generative AI and Large Language Models as groundbreaking technological innovations promise to redefine the boundaries of contemporary science and engineering. Their capabilities to produce e.g. context-sensitive text, knowledge-based answers, software code, images, music and 3D assets from text prompts and image inputs create opportunities for a manifold of disciplines. In addition, their natural language-based interfaces allow for intuitive dia...
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Thomas Jatschka, Tobias Rodemann, Guenther Raidl,
"A Multilevel Optimization Approach for Large Scale Battery Exchange Station Location Planning",
EvoCOP 2023, 2023.
Abstract
We propose a multilevel optimization algorithm (MLO) for solving large scale instances of the Multi-Period Battery Swapping Station Location Problem (MBSSLP), i.e., a problem for deciding the placement of battery swapping stations in an urban area. MLO generates a solution to an MBSSLP instance in three steps. First the problem size is iteratively reduced in a coarsening phase. Afterwards, a solution to the coarsest problem is obtained and the ob...
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Kyle Poland, David Ehrlich, Abdullah Makkeh, Patricia Wollstadt, Michael Wibral,
"Continuous Partial Information Decomposition and its Estimation",
Decomposing Multivariate Information in Complex Systems (DeMICS 23), 2023.
Abstract
While the existence of a measure-theoretic (i.e. continuous and discrete-continuously mixed) partial information decomposition has been established recently, the work of Schick-Poland et. al was not concluded with an explicit form of the resulting generalized measure. In this talk, I will not only elaborate on the properties of the measure-theoretic information measure of redundant information, but will also demonstrate an approximation of the me...
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Yuto Koroyasu,
"Exploring 3D Point Cloud Autoencoders as Generative Models in Similarity-based Topology Optimization",
Technical University of Munich, 2023.
Abstract
Topology Optimization (TO) is a powerful computational technique utilized to optimize the material distribution in a design space and create 3D structures that maximize their mechanical performance under a set of constraints. When applied during early stages of product development, TO enables rapid creation of design concepts and reduces the number of design modifications. However, in industrial settings, engineers often neglect the manufacturin...
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