Description
Working and growing together: On each day, 5 of the 10 Lamarr areas will provide the attendees with an update on its respective strategic focus, breakthrough results and opportunities for cooperation.
This presentation will introduce the Hybrid ML research area, which aims to integrate deep learning with structured knowledge from mathematics and the natural and social sciences.
Hybrid ML is guided by the observation that both mathematics and the sciences can be seen as generators of compressed pattern representations. We will explain that the central goal of Hybrid ML is to align the...
The Planning & Logistics area within the Lamarr Institute focuses on transferring AI research into real-world logistics applications. Logistics offers a rich field for AI with significant impact on both society and sustainability. Key topics include scalable multi-criteria optimization for efficiency and environmental performance (such as route planning, fleet management, and navigation),...
Area presentation: "Resource-Aware Machine Learning at Lamarr: A Guided Tour"
In this talk, we offer a guided overview of the resource-aware machine learning (RAML) research taking place at the Lamarr Institute. RAML aims to make machine learning systems not only accurate, but also efficient in terms of energy, latency, and computational resources. We highlight ongoing efforts within the...
The interdisciplinary research area of physics at the Lamarr Institute leverages advanced mathematical and machine learning methods to deepen our understanding of nature. By combining simulation-based approaches with sophisticated data analysis techniques, this area addresses fundamental questions across diverse physics domains. This presentation will introduce the research area, its...
Our research in Human-Centered AI focuses on enabling domain experts to actively guide and interpret machine learning (ML) processes through interactive, knowledge-driven methods. We develop visual analytics (VA) techniques that support expert involvement in both the construction and interpretation of ML models, with the goal of improving transparency, trust, and alignment with human...
The Lamarr interdisciplinary research area "AI in Life Sciences and Health" will provide an overview of its organization and scientific focal points in the life sciences including drug discovery, medicine, and health. We will introduce research groups participating in this area and key collaborations with external partners and institutions. In addition, recent research progress will be...
This talk provides an overview of recent research in the area of Embodied AI at Lamarr. Embodied Artificial Intelligence refers to AI that is embedded in physical systems, such as robots, and can interact with the surroundings. In contrast to classic Machine Learning in robotics, embodied AI encapsulates all aspects of interacting and learning in an environment: from perception, via...
The Industry and Production research area focuses on the integration of artificial intelligence and machine learning (ML) into production technology. The main objectives are to ensure consistent product quality while minimizing the use of resources such as machine time, tools, materials and energy. This presentation provides an overview of the main research topics of the area, which are...
