TEACHING - A computing toolkit for building efficient autonomous applications leveraging humanistic intelligence
Published August 27, 2021 | Version v1
Conference paper Open

TEACHING - Trustworthy autonomous cyber-physical applications through human-centred intelligence

Creators

  • 1. Università di Pisa
  • 2. ITML
  • 3. AVL
  • 4. ISTI-CNR
  • 5. Marelli
  • 6. Harokopio University of Athens
  • 7. TU Graz
  • 8. Thales Research & Technology
  • 9. Ideas & Motion
  • 10. Infineon Technologies AG

Description

This paper discusses the perspective of the H2020 TEACHING project on the next generation of autonomous applications running in a distributed and highly heterogeneous environment comprising both virtual and physical resources spanning the edge-cloud continuum. TEACHING puts forward a human-centred vision leveraging the physiological, emotional, and cognitive state of the users as a driver for the adaptation and optimization of the autonomous applications. It does so by building a distributed, embedded and federated learning system complemented by methods and tools to enforce its dependability, security and privacy preservation. The paper discusses the main concepts of the TEACHING approach and singles out the main AI-related research challenges associated with it. Further, we provide a discussion of the design choices for the TEACHING system to tackle the aforementioned challenges

Files

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Additional details

Related works

Is identical to
Conference paper: arxiv.org/abs/2107.06543 (Handle)

Funding

TEACHING – A computing toolkit for building efficient autonomous applications leveraging humanistic intelligence 871385
European Commission