To All Omniverse Pioneers #9

06.06.2025 | For the development, specification, and testing of fully-automated trains, access to vast amounts of sensor data covering the entire operational design domain (ODD) is critical — particularly for non-regular scenarios where real-world data is scarce or unavailable. By harnessing the power of NVIDIA Omniverse, Sebastian, José and their colleagues developed a cutting-edge toolchain that traverses the ODD and orchestrates the simulation of both regular and non-regular railway scenarios at massive scale. This comprehensive synthetic data, combined with real-world data, creates a robust foundation for training advanced machine learning models specifically tailored for railway automation, overcoming the limitations of conventional data sources.

Solutions Lab: AI for the Circular Economy

19.06.2025 | Künstliche Intelligenz für die Kreislaufwirtschaft – wirtschaftliche Potenziale erkennen und gemeinsam Lösungen entwickeln

Circularity und KI Park laden Sie herzlich ein, praxisnahe KI-Lösungen für zentrale Herausforderungen der Kreislaufwirtschaft kennenzulernen.

Im Solutions Lab: AI for the Circular Economy vernetzen wir Unternehmen aus der Kreislaufwirtschaft mit Akteuren aus der KI-Branche – von Start-ups mit marktreifen Produkten bis zu Lösungsanbietern mit innovativen Technologien.

Ziel ist es, gemeinsam auszuloten, wie Künstliche Intelligenz die Kreislaufwirtschaft wirtschaftlich und effektiv voranbringen kann.

12h Agentic AI Hackathon – Bosch Innovation Campus

24-25.06.2025 | Ready to take Agentic AI from theory to reality?

We’re proud to support the upcoming 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐀𝐈 𝐇𝐚𝐜𝐤𝐚𝐭𝐡𝐨𝐧 at the Bosch Innovation Campus in Berlin — where AI builders, coders, and innovators will team up to tackle real-world challenges in automation, mobility, and industry.

📍 June 24–25, 2025
🧠 12 hours of hacking, over 2 days
📌 Location: Bosch Innovation Campus, Berlin

Together with Bosch Digital and partners like Microsoft, AWS, Google, NVIDIA, n8n, and Capgemini, ⭕️KI Park invites 80 selected participants to shape the future of goal-driven multi-agent AI systems.

💡 Whether you’re an early-career developer or experienced engineer — if you’re excited about building with AI, solving applied challenges, and exploring next-gen automation, this is for you.

Curious what prizes await? You’ll have to find out on-site 👀

AI Act Monthly Connect #2: Focus Topic: AI Literacy

16.05.2025 | We’ll kick off with a brief expert impulse by Dr. Frederic Geber (PSWP) on the importance of AI literacy. The session is designed as a peer exchange — your experiences and questions are at the center.
During the open discussion, all questions around the implementation of the AI Act are welcome — whether they relate directly to AI literacy or other aspects.

KI Park Summer Event 2025

22.05.2025 | Join us at the KI Park Summer Event! AI is advancing rapidly, reshaping industries, business models, and markets. As technology evolves and global dynamics shift, staying ahead is more critical than ever.

The KI Park Summer Event returns in 2025 as a premier gathering for the AI ecosystem, bringing together over 300 key stakeholders – industry leaders, pioneering startups, decision-makers, AI experts and researchers – for valuable insights, and the right connections, to accelerate innovation and business growth.

AI Act Monthly Connect #1

11.04.2025 | Join us for the first AI Act Monthly Connect! 🙌 This recurring monthly format is designed to spark peer exchange and address current challenges related to the implementation of the AI Act

To All Omniverse Pioneers #8

4.04.2025 | In our upcoming “To All Omniverse Pioneers” webcast, we explore how Innoactive and MHP – A Porsche Company are leaping into AI-driven experiences, combining the Apple Vision Pro with NVIDIA Omniverse to create a voice-controlled interface for next-gen Human-Machine Interactions.

AI Agents Peer Exchange

10.04.2025 | AI agents are fundamentally changing automation and decision-making—they take on tasks independently, adapt dynamically, and open up new opportunities across industries. But how can companies integrate agent-based AI approaches in a structured and efficient way?