TECH TRACKS // 11 – 12 a.m.
In our three TECH TRACKS in the morning, we create space for discussion about opportunities, risks, and specific use cases.
TECH TRACK #1
Language models (LLMs)
Safe and transparent use of language models: How retrieval-augmented generation, prompting, and open source are used for transparent AI in legal use cases
The productive use of language models in regulated domains such as the legal sector requires precise control, traceability, and context sensitivity. In this workshop, we demonstrate how current AI techniques — in particular retrieval-augmented generation (RAG), structured prompt engineering, and modular open-source components — can be combined into a system that automatically processes legal queries and provides reasoned, verifiable answers. The “law” use case serves as an example scenario for the deployment of explainable, domain-specific controlled AI systems with high requirements for transparency and reliability.
Moderation: Maria Rill, Jacob Langner, Steffen Thoma, FZI
Speakers: Prof. Dr. Achim Rettinger, Professor of Computational Linguistics at Trier University and Scientific Director at the FZI
TECH TRACK #2
Edge AI & Neuromorphe Hardware
Artificial neural networks with high standards: How optimized hardware architectures can be designed for AI in edge and embedded systems
Artificial neural networks (ANNs) directly on edge and embedded systems offer decisive advantages regarding latency, data protection, and independence from network infrastructure. At the same time, these systems place high demands on energy efficiency, security, and real-time processing.
This track will highlight tool environments for customized hardware architectures, hardware-assisted ANN acceleration, and neuromorphic computing principles for realizing intelligent embedded systems. Application-oriented examples from the process industry, mobility, and medical technology will be discussed, and potential for future collaborations with partners from research and industry will be identified.
Moderator: Dr. rer. nat. Sebastian Reiter
Speakers: Sven Nitzsche and Federico Peccia, FZI
TECH TRACK #3
Data strategy
Without data, there is no AI: How a data strategy helps accelerate AI implementation
Without data, there can be no AI. This track examines why a data strategy is essential for developing Artificial Intelligence within companies. This is particularly important when companies want to use AI in different areas. Next, we provide an overview of the various components of a data strategy. Participants then take part in an interactive exercise to develop criteria for evaluating data quality, before making an initial assessment of data readiness for their company or a specific use case.
Speaker/Moderator: Alexander Dregger, FZI
APPLICATION TRACKS // 3:00 – 4:00 p.m.
In our three APPLICATION TRACKS in the afternoon, we will move on to practical application with specific use cases.
APPLICATION TRACK #1
Mobility
Think. Trigger. Store. – AI-based data collection as a key technology for autonomous driving
In this application track, we focus on using Artificial Intelligence in mobility. We concentrate on selective data collection: Using trigger functions, we no longer record all data in the vehicle, but only store relevant data for development automatically. We use AI methods to automatically create triggers based on data requirements and update them regularly after the collected data has been analyzed and evaluated. In the automated data collection pipeline, the collected data is anonymized before being stored in the backend. Two approaches to selective, AI-supported data collection and a continuous data pipeline, including automated anonymization in the vehicle, will be presented. We will then demonstrate the concepts and solutions live on our CoCarNextGen development vehicle.
Moderation: Christian Hubschneider and Jacob Langner, FZI
APPLICATION TRACK #2
Robotics & Industrial
Modern robotics in industrial applications – opportunities, challenges, and success stories
In this application track, we focus on adaptive robotic systems that make production, logistics, and our everyday lives smarter, more efficient, and safer. We provide deeper insight into the concepts and solutions behind the robotics applications demonstrated during the tours.
Moderation: Georg Heppner, FZI
APPLICATION TRACK #3
Healthcare
How AI helps make medical applications practical, efficient, and future-proof
Artificial Intelligence is opening up new avenues for more efficient, patient-centred healthcare. In this interactive session, we will demonstrate how specific AI applications are already improving diagnostics, assistance systems, and processes. At the same time, we will address real challenges from hospitals, care facilities, and outpatient settings to derive tailor-made solutions. The focus will be on success stories, technical implementation, knowledge transfer into healthcare practice, and how AI can be sustainably integrated and continuously adapted to practical needs.
Moderation: Christoph Zimmermann, FZI
Speaker: Prof. Dr. Wilhelm Stork, Karlsruhe Institute of Technology (KIT) and Scientific Director at the FZI
With the kind support of:
