AI Day: Can AI actually make Model-based System Engineering smarter?

The virtual AI Day 2022 showed, where the benefits of AI in engineering ly, how AI can be introduced into companies and also gave practical examples from our industry partners. Prof. Dr. Lydia Kaiser (TU Berlin) provided some interesting insights how Artificial Intelligence can support engineers with managing complexity in Model-Based Systems Engineering (MBSE). Artificial intelligence (AI) is an important key for innovative and efficient product development. With the AI Marketplace, a unique ecosystem is being created nationwide with which companies can tap into the potential in this area. On the platform, providers, users and experts can develop and exchange solutions for AI. In addition to intelligent matching, the AI marketplace also offers a protected space for secure data exchange and data sovereignty. In addition, there will be an app store for AI solutions and a range of comprehensive AI solutions thanks to a modular principle. For further information please go to: Website: https://ki-marktplatz.com/ Twitter:   / ki_marktplatz   LinkedIn:   / ki-marktplatz  

Characteristics of Model Based Systems Engineering
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Characteristics of Model Based Systems Engineering

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Professor Ruslan Salakhutdinov, CMU, exVP of Research at Meta, Ex-Director of AI Research at Apple

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Model-based Systems Engineering Demystified (Part 1) - The need for MBSE - Full Video

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[Episode 35] MBSE and AI with Alessandro Migliaccio and Giovanni Iannone

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Revolutionising Automotive Design - The power of Connected Engineering & AI

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I Spent 20 Days Building the Cheapest Forest House Alone to Live: Solo Bushcraft (Full)

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From Idea to $650M Exit: Lessons in Building AI Startups

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Keynote: After the AI Hype – What’s Real, and What’s Next - Richard Campbell - 2026

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Privacy-enhancing technologies for information security in edge-cloud applications

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Inside Anthropic, the $965 Billion AI Juggernaut | The Circuit

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[𝗪𝗲𝗯𝗶𝗻𝗮𝗿 𝗥𝗲𝗽𝗹𝗮𝘆] Responsible AI Enabled BIM and Digital Twins for Construction Governance

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Report Generation for Model Based Systems Engineering (MBSE)

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Andrew Ng: Building Faster with AI

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Meeting the Artificial Intelligence (AI) Needs of Today's Military Embedded Systems

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Inside the Mind of Anthropic CEO Dario Amodei | The Circuit | Extended Interview

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Resilience Engineering for Systems Engineering - Part 1

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Andrej Karpathy: From Vibe Coding to Agentic Engineering w/ Stephanie Zhan

Towards a Model-Based Approach | Systems Engineering, Part 2
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Towards a Model-Based Approach | Systems Engineering, Part 2