Programm
Das Programm wird fortlaufend aktualisiert.
Meike Neitz
Moderation
Moderatorin Meike Neitz führt die Teilnehmenden durch die beiden anregende und spannende Tage.
Die Gesamtveranstaltung wird simultan (englisch-deutsch und deutsch-englisch) übersetzt.
Tag 1 – 4. September 2024
Tag 2 – 5. September 2024
9.30 – 9.45 Uhr
Main Hall
Opening
Greeting Lamarr Directors
Prof. Dr. Christian Bauckhage
Lamarr Institute
Prof. Dr. Jakob Rehof
Lamarr Institute
Greeting
Hendrik Wüst
Ministry of the State of North Rhine-Westphalia
9.45– 10.35 Uhr
Main Hall
Keynotes
Keynote: Factual Accuracy in LLM-Powered Conversational
Prof. Dr. Jens Lehmann
Amazon AGI
Keynote: Square Kilometre Array: a new research
Prof. Dr. Phil Diamond
Square Kilometre Array Observatory
10.35 – 11.00 Uhr
Pause
11.00 – 12.00 Uhr
Main Hall
The Future of AI
Lamarr Fellows – Project Presentations and Panel
Prof. Dr. Jakob Rehof
Moderation
Prof. Dr. Michael Möller
Prof. Dr. Arnulf Jentzen
Prof. Dr. Milica Gašić
Heinrich Heine University Düsseldorf
Prof. Dr. Barbara Hammer
Prof. Dr. Asja Fischer
Prof. Dr. Axel-Cyrille Ngonga Ngomo
Paderborn University (online)
11.00 – 12.00 Uhr
Raum 2
AI Regulation and Certification
Tech Regulation Readiness: Risk and Responsibilities
Prof. Dr. Jatinder Singh
Talk: AI assessment as a building block for operationalizing the AI Act –experience reports from pilot projects
Anna Schmitz
11.00 – 12.00 Uhr
Raum 3
AI in Physics
Panel Discussion: AI driven knowledge gain in Physics and Astronomy
Alicia Fattorini
Moderation
Prof. Dr. Katharina Morik
Lamarr Institute
Prof. Dr. Gregor Kasieczka
Universität Hamburg
Prof. Dr. Dr. Wolfgang Rhode
TU Dortmund University
11.00 – 12.00 Uhr
Raum 4
On the road to convergence: blockchain and AI in logistics
Impulse lecture
Dr. Maximilian Austerjost
Fraunhofer IML
AI-driven services & maintenance
Dr. Alexander Kreyenborg
SIMPL Technologies GmbH
Networked value creation in heat treatment
Dr. Julian Graefenstein
Weldotherm Wärmetechnischer Dienst GmbH
Discussion and Summary
11.00 – 12.00 Uhr
Raum 5
Deep Dive Computer Vision: ML Toolbox & Yard Lense on Edge
Introducing Yard Lense on Edge: Computer Vision based Real Time Tracking of Yard-Entities
Tim Chilla
Fraunhofer IML
Yard Lense on Edge: Deep dive into Multi-Camera Tracking
Christian Pionzewski
Fraunhofer IML
ML Toolbox: Basic building blocks for the development of machine learning-based computer vision solutions
Maximilian Otten
Fraunhofer IML
12.00 – 12.30 Uhr
Pause
12.30 – 13.30 Uhr
Main Hall
AI in Business
AI for making better business decisions
Prof. Dr. Stefan Feuerriegel
Caught Between Fax Machines and AI Hype: The State of the German Economy and What We Must Do to Harness AI Profitably
Lena Weirauch
Panel Discussion
Dr. Christian Temath
Fraunhofer IAIS
Prof. Dr. Stefan Feuerriegel
LMU Munich
Prof. Dr. Jakob Rehof
Lamarr Institute
Dr. Martin Oettmeier
Wilo SE
Lena Weirauch
12.30 – 13.30 Uhr
Raum 2
The Future of AI
Meet the Lamarr Fellows: Q&A
Prof. Dr. Jakob Rehof
Moderation
Prof. Dr. Michael Möller
Prof. Dr. Arnulf Jentzen
Prof. Dr. Milica Gašić
Heinrich Heine University Düsseldorf
Prof. Dr. Barbara Hammer
Prof. Dr. Asja Fischer
Prof. Dr. Axel-Cyrille Ngonga Ngomo
Paderborn University (online)
12.30 – 13.30 Uhr
Raum 3
AI in the Life Sciences
Demystifying Graph Neural Networks in Drug Discovery via Explainable Artificial Intelligence
Dr. Andrea Mastropietro
Sapienza University of Rome
AI Advancing Drug Design in the Pharmaceutical Industry and Academia
Dr. Raquel Rodríguez-Pérez
Novartis
12.30 – 13.30 Uhr
Raum 4
Shaping the future with generative AI: New horizons in transport logistics
Zukunft gestalten mit generativer KI: Neue Horizonte in der Verkehrslogistik
Generative KI: Neue Horizonte in der Verkehrslogistik
Martin Friedrich
Fraunhofer IML
Zukunft gestalten mit generativer KI: Neue Horizonte in der Verkehrslogistik
Lars Hackstein
Fraunhofer IML
Introduction to human-centric digital systems and LLM/AI in forwarding operations
Prof. Dr. Matthias Klumpp
TU Mailand
Think Tank Session
12.30 – 13.30 Uhr
Raum 5
On the use of AI and simulation technologies in intralogistics
AI Transformation in Logistics: From User Command to AMR Transport
Maximilian Hörstrup
Fraunhofer IML
Christian Jestel
Fraunhofer IML
AMRs, AGVs, and Machine Learning for Multi-Robot Coordination
Dr. Jean-Marc Alkazzi
idealworks
Discussion
13.30 – 14.45 Uhr
Mittagspause
14.45 – 15.45 Uhr
Main Hall
AI in Robotics
Virtual Research Building
Prof. Dr. Michael Beetz
University of Bremen
Keynote
Prof. Dr. Heike Vallery
RWTH Aachen
Panel Discussion
Prof. Dr. Maren Bennewitz
Moderation
Prof. Dr. Michael Beetz
University of Bremen
Prof. Dr. Sven Behnke
Lamarr Institute
Prof. Dr. Heike Vallery
RWTH Aachen
14.45 – 15.45 Uhr
Raum 2
AI in Business
Workshop AI in Business
Dr. Stefan Rüping
Startups
Haris Yalcinkaya
14.45 – 15.45 Uhr
Raum 3
Generative AI – Foundation Models (Workshop)
Do Foundation Models have Personalities? The Risks and Opportunities for Model Alignment and Personification
Prof. Dr. David Jurgens
University of Michigan
Training Large Language Models at Scale using Modalities
Dr. Mehdi Ali
Dr. Max Lübbering
14.45 – 15.45 Uhr
Raum 4
Simulated worlds, real advantages: AI and digital twins in transport logistics
Market environment and trends in intermodal freight transport
Maximilian Schellert
Fraunhofer IML
Requirements for AI and digital twins from the perspective of rail freight transport
Jan Läzer
Dortmunder Eisenbahn GmbH
Digital Seas: The role of smart shipping logs in the future of global logistics
Otto Klemke
NautilusLog
AI and digital twins in multimodal transport
Tammo Märtens
Fraunhofer IML
14.45 – 15.45 Uhr
Raum 5
AI in intralogistics: New approaches for planning and controlling future-proof material flow systems
AI in Intralogistics: New approaches for planning and controlling future-proof material flow systems
Alexander Krooß
Fraunhofer IML
Trustworthy AI for Intralogistics – Dealing with sparse and scarce data
Maximilian Bause
Fraunhofer IEM
Automated stocktaking in high pallet racks
Malik Hafez
Cellgo GmbH
Datenfabrik.NRW and the future of production
Matthias Welland
Discussion
15.45 – 16.15 Uhr
Pause
16.15 – 17.15 Uhr
Main Hall
AI in Life Sciences and Physics
AI in Life Sciences: Introduction
Prof. Dr. Jürgen Bajorath
AI in Drug Discovery – Finding Signal Amidst the Noise
Dr. Pat Walters
AI in Physics: Introduction
Prof. Dr. Wolfgang Rhode
TU Dortmund University
How AI is enabling new breakthroughs in fundamental physics
Prof. Dr. Christian Glaser
Uppsala University
16.15 – 17.15 Uhr
Raum 2
Explainable AI
Feature Attribution Methods for Model Explanation
Dr. Cass Zhixue Zhao
University of Sheffield
Developing Model-Aligned and Human-Readable Explanations for Artificial Intelligence in Applications
Thomas Schnake
TU Berlin, BIFOLD
16.15 – 17.15 Uhr
Raum 3
Generative AI – Large Language Models
LLMs in Action: Hands-on Workshop
Dr. Mounika Marredy
University of Bonn
Vahid Sadiri Javadi
University of Bonn
Dr. Akbar Karimi
University of Bonn
16.15 – 17.15 Uhr
Raum 4
Bringing AI into practice – pitfalls and solutions from the field
KI in die Anwendung bringen – Fallstricke und Lösungsansätze aus der Praxis
Panel Discussion
Anike Murrenhoff
Moderation
Dr. Dariush Tavaghof Gigloo
Dr. Sascha Feldhorst
Thomas Bruß
BOB Automotive Group GmbH
16.15 – 17.15 Uhr
Raum 5
Applications of Large Language Models: A Case Study with Sustainability Reports
Introduction to Natural Language Processing (NLP) and Sustainability Reporting
Andrej Plenne
Fraunhofer IML
Automated Document Processing of Sustainability Reports with NLP
Pia Schreynemackers
Fraunhofer IML
Advanced Prompt Engineering Techniques
Christian Pionzewski
Fraunhofer IML