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  • Network

Bavaria is a hotspot for AI start-ups

According to the AI Startup Landscape 2024 by the appliedAI Institute for Europe, 11 of the 27 most promising German AI startups are based in Bavaria. Bavaria has the second-largest share of AI startups in Germany after Berlin.
  • Featured

Revolutionary AI initiative GAIn makes artificial intelligence energy efficient

GAIn (Next Generation AI Computing) unites Bavaria and Saxony to develop innovative and sustainable AI hardware and software. baiosphere plays a central role in promoting networking and dialog in the GAIn project.
  • Network

Are metrics enough? AI safety put to the test

How reliable and safe is AI? Fraunhofer IKS is investigating the role of metrics in assessing the safety of AI systems and is working on a framework to quantify uncertainty.
  • Network

Ministry of Finance and UTN cooperate on AI in tax administration

Bavaria's Minister of Finance Albert Füracker and UTN founding president Alexander Martin signed a declaration of intent on August 2. The aim: AI integration in the administration for more cost-effective and faster tax processes.
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  • Network

European AI Act officially enters into force

Just in time for the entry into force of the AI Act, the European AI Office is calling for input on a code of conduct for general purpose AI models. Take part in the multi-stakeholder consultation until September 10!
  • Network

University of Bayreuth establishes research center for AI in science and society

The new Research Center for AI in Science & Society (RAIS²) at the University of Bayreuth promotes interdisciplinary collaboration on the topic of artificial intelligence across different departments.
  • Network

AI recognizes rare diseases

A study led by the Technical University of Munich (TUM) illustrates the clinical benefits of AI software in facial analysis. The study identified new genetic diseases in 34 patients.
  • Network

relAI Blog: Uncertainty Quantification

From weather forecasting to aerospace - Uncertainty Quantification (UQ) is essential for precise decisions in complex systems. UQ improves the accuracy of forecasts and helps with risk assessment.
Prof. Sebastian Scherer
  • Featured

Munich AI Lecture with Sebastian Scherer: Redundancy as the key to success

Robotics expert Sebastian Scherer emphasizes the importance of backup solutions for autonomous systems. Redundancy and machine learning are used to overcome challenges such as sensor failures and complex decisions.
  • Network

TUM uses AI to accelerate materials research

Prof. Helge Stein from the Technical University of Munich (TUM) is using machine learning, AI and robotics to accelerate research in the laboratory to develop new materials for catalysis and batteries.

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