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TEACHING





A computing Toolkit for building Efficient Autonomous appliCations leveraging Humanistic INtelliGence
is an EU-funded project that designs a computing platform and the associated software toolkit supporting the development and deployment of autonomous, adaptive and dependable CPSoS applications, allowing them to exploit a sustainable human feedback to drive, optimize and personalize the provisioning of their services.

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TEACHING at a Glance

The realization of the TEACHING vision revolves around four main concepts:

 

 

The creation of a distributed edge-oriented and federated computational environment that seamlessly integrates heterogeneous resources comprising specialized edge devices, general purpose nodes and cloud resources. A core concept is the exploitation of edge devices with specialized hardware support to run AI, cybersecurity and dependability components of the autonomous application.

 

The development of methods and tools that support runtime dependability assurance of CPSoS. To that aim also systematic engineering processes will be developed to be used for design of conventional and AI-based runtime adaptive systems, applied both in the cloud and at the edge in order to ensure continuous CPSoS assurance at runtime and throughout the software life cycle (including AI approaches tailored towards a cognitive security framework).
 


 


 

The realization of software-level abstraction of the computing system to allow an easy and coordinated deployment of the different application components on the most adequate CPSoS resources. This concept also involves the orchestration of application components to optimize resource efficiency and energy consumption and meet the dependability requirements of the application.

 

The leveraging of a synergistic human-CPSoS cooperation in the spirit of Humanistic Intelligence, exploiting AI methodologies and continuous monitoring of the human physiological, emotional and cognitive (PEC) state to enable applications with unprecedented levels of autonomy and flexibility, while retaining the dependability requested by any safety-critical system operating with a human in the loop.

 

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TEACHING Objectives

  • Consolidation of international and European links, raising awareness, collaboration with standardizations bodies and ensuring the transferability of project’s results
  • Evaluation of the computing, adaptation and dependability functionalities of the CPSoS on safety-critical industrial applications through autonomous driving and aviation demonstration environments…

  • Development of distributed AI-as-a-service toolkit enabling human-driven adaptive applications in CPSoS

  • Provision of High-Level Parallel Programming Framework targeting Heterogeneous Computing Resources for AI-based Applications on CPSoS

  • Establishment of Smart communication paradigms, architectures, and technologies for real-time and energy-aware information exchange on CPSoS

  • Development of tools for dependable and secure CPSoS

  • Development of architectural patterns and dependability-engineering framework for runtime adaptive CPSoS

  • Definition of a CPSoS computing system supporting a cross-platform Cloud-Edge continuum to ease the exploitation of resources, shrink transmission costs and reduce latency between the data and the…

TEACHING Work Packages

WP1:

Requirements, Design and Integration of the Human-Aware CPSoS

WP2:

Distributed Computing and Communication platform for CPSoS

WP3:

Dependable, safe and secure autonomous CPSoS
 

WP4: 

Artificial Intelligence as a Service (AIaaS) software infrastructure for CPSoS

WP5:

Use cases and project prototypes

WP6:

Communication, Dissemination, Standardization and Exploitation

WP7:

Project Management and Coordination

Complete Work Plan

TEACHING Experimentation

Autonomous Driving Autonomous Driving
Autonomous Driving
Aviation Aviation
Aviation

Partners

  • university of pisa
  • Harokopio University of Athens
  • CNR
  • TUG
  • AVL
  • Magneti Marelli
  • Ideas & Motion
  • Thales
  • ITML
  • Infineon

News

  • Teaching Technical Review Meeting
    1st Technical Review Meeting
  • teaching
    3rd TEACHING webinar
  • Teaching
    2nd TEACHING webinar
  • 1st TEACHING webinar
    1st TEACHING webinar
  • 2nd Consortium meeting
    2nd Consortium meeting
  • WAISE 2020 event
    WAISE 2020 event
  • EuroAsia SPI 2020
    EuroAsia SPI 2020
  • Online Consortium Meeting
    1st Consortium Meeting
  • TEACHING Kick-Off Meeting
    TEACHING Kick-Off Meeting

Contact us


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Key Facts

Project Coordinator: Dr. Davide Bacciu
Institution: UNIPI

Email: bacciu@di.unipi.it
Start: 1-1-2020
Duration: 36 months
Participating organisations: 10
Number of countries: 5

 

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Fundings

eu

This project has received funding from the European Union’s Horizon 2020 Research and Innovation program under grant agreement No 871385.

 

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