During Tech Days 2024, Munich will once again become a hotspot for founders, entrepreneurs and creatives in cyberspace. Innovation managers from the corporate world mingle with digital natives and exchange ideas about the ongoing transformation, new ways to create, organize or accelerate innovations. Under the motto "Digital Innovation", the two organizers Bayern Innovativ and the Munich Security Network are bringing the event to its seventh edition - the second time as a purely virtual event.

The Tech Days are a popular forum for technology enthusiasts and innovation managers from industry, science and the start-up scene. The annual format offers numerous opportunities to make new contacts.

The main program includes keynotes, panels and expert presentations around the following topics:

• Cybersecurity
• Foundation Models/Medical
• AI Act/Innovation Management
• Fusion/Energy
• Space & Mobility
• Unmanned Aircraft and AI
• Quantencomputing
• Manufacturing-X

You can expect renowned speakers to present visionary and inspiring keynotes on these and other topics. You will receive exclusive insights and impulses from leading experts who will share their extensive knowledge with you. You can look forward to lively panel discussions and animated debates. Experience a cross-industry exchange and discover the industry's best practices.

Alexander Perzylo, Head of the Platform Engineering (PEng) competence field, will be present at Tech Days 2024. He will show PEng's robot demonstrator and the Neuromorphic Computing (NC) department's gesture recognition technology with the neuromorphic camera from the fortiss labs. He will also give a pitch on the topic of "The PPR modeling paradigm: automation based on semantic description models for products, processes and resources". The PPR modeling paradigm: automation based on semantic description models for products, processes and resources. The presentation provides insights into formal knowledge modeling with the help of ontology. The semantic knowledge models created in this way provide technical systems with the necessary contextual knowledge, which is the basis for the realization of an intuitively operable, (partially) autonomous manufacturing system.