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Plattform Lernende System – Germanys Platform for Artificial Intelligence

10 Mar

RoboCup German Open 2026

 

 Cologne

Leading researchers, students and young talents bring the future of robotics and AI to life in exciting competitions and specialist conferences organised by the RoboCup Committee Germany

11 Mar

2nd GERMAN ROBOTICS CONFERENCE

 

 Cologne

Conference on current developments in robotics and AI, as well as the promotion of transfer in research, innovation and application, organised by Robotics Institute Germany (RIG).

13 Mar

Step-by-step guide to setting up your own local AI development environment (VS Code, Python, Docker, Ollama/vLLM, WSL, GitHub), no prior knowledge required, organised by the AI Service Centre Berlin-Brandenburg

13 Apr

Step-by-step guide to setting up your own local AI development environment (VS Code, Python, Docker, Ollama/vLLM, WSL, GitHub), no prior knowledge required, organised by the AI Service Centre Berlin-Brandenburg

14 May

This workshop shows how data can be prepared effectively and RAG systems optimised to reliably find relevant information, organised by the KI-Servicezentrum Berlin-Brandenburg

27 May

This workshop shows how agentic RAG systems can be used as local, secure AI assistants – from research to workflow support, organised by the Berlin-Brandenburg AI Service Centre

10 Jun

Generative AI and Society: What is at stake?

 

 Berlin

Interdisciplinary conference on GenKI's influence on work, knowledge production, expertise, power & inequality, organised by the Weizenbaum Institute

News

Illustration of a connected digital industrial landscape with factories, robots and smart transport routes.

AI in municipal traffic management: Clear goals determine success

Artificial intelligence (AI) is becoming increasingly important for local authorities. In traffic and mobility management, it opens up new opportunities to reduce congestion, emissions and inefficient traffic flows. However, its benefits are not determined by the technology alone. Without clearly defined municipal goals and measurable criteria, AI remains ineffective. This is the conclusion reached in a recent discussion paper by the Learning Systems Platform. The focus is on a holistic vision of AI-based traffic management for mobility systems based on the needs of local authorities. The paper offers strategic guidance on how AI can be used as a learning management tool to shape mobility in the public interest.

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