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Projects

Eggs Hatching

  • Brief description: IoT solution and connected to eggs-hatching
  • Challenge: Far Edge - Sustainable IoT with Tiny ML
  • Project Type: Business Ideation/Forming
  • Contact details: Ahmad Radhy (ahmadradhyfisika@gmail.com)

AI4SMB

  • Brief description: AI4SMB, also named in German as KI4KMU, is a small EU-based hi-tech software development shop (~ 20 pers.) outstanding mainly in eHealth, manufacturing/automation, logistics, and applied AI. It's a German-Czech consortium.
  • Challenge: Data Spaces - Sustainable, user-centric smart mobility
  • Project Type: Business Ideation/Forming
  • Contact details: Robert F. Brunner (info@ai4smb.de)

AI4SMB 02

  • Brief description: AI4SMB to open AI processing to SMB within EU offering economical AI for SMBs in digital business processes, from production & maintenance & logistics
  • Challenge: Data Spaces - Sustainable, user-centric smart mobility
  • Project Type: Technical
  • Contact details: Robert F. Brunner (info@ai4smb.de)

Space Games

  • Brief description: Dataspaces are a new concept and not easy to grasp for business and develoeprs. We would like to jointly develop an workshop / hackathon format that uses gamification elements around the core concepts of data spaces, sustainability, it-security and privacy. A first draft based on a usecase is available and can be used as an example, but e.g. needs to be adapted to the smart mobility sector.
  • Challenge: Data Spaces - Sustainable, user-centric smart mobility
  • Project Type: Skills Training
  • Contact details: Stephan Schwichtenberg (stephan.schwichtenberg@pi-lar.net)

Eclipse Attack Detection for neuropil

  • Brief description: Our neuropil protocol facilitates a DHT that guarantees a certain distribution of blake2b hash values. As soon as an eclipse attack is started against the DHT, the hash distribution changes in a way that it should be detectable by a trained AI model. We are unsure whether this kind of detection would be possible with TinyML, and definetly looking for help for this project.
  • Challenge: Far Edge - Sustainable IoT with Tiny ML
  • Project Type: Technical
  • Contact details: Stephan Schwichtenberg (stephan.schwichtenberg@pi-lar.net)

Privacy Preserving Emission-Data Portal

  • Brief description: Companies/Cities struggle to obtain and collect their emission data, and to compare them with a competitors. The idea is to develop a distributed data portal that collects emission data from the various participants in a fully privacy-preserving way. This would enable every particpant to use the portal and to compare their own emission data e.g. with their peer group, without the fear of being compromised. In addition the portal could then be used to add group challenges, e.g. reduce co2 emissions by 50% for a specific peer group in a specific time, for the benefit of the all.
  • Challenge: Data Spaces - Sustainable, user-centric smart mobility
  • Project Type: Business Ideation/Forming
  • Contact details: Stephan Schwichtenberg (stephan.schwichtenberg@pi-lar.net)

Donít see anything that interests you? Feel free to register your project!

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Page last modified on September 03, 2021, at 05:25 PM