Updates on the ARTIFACT proposal

Adnan Ghribi

on behalf of the coordination team

March 5, 2024

Outline

  1. Context
    Why all this

  2. Excellence
    Objectives, ambitions & methodology

  3. Impacts
    Outcomes & synergies

  4. Implementation
    Concortium & organisation

  5. What happens next

Context

The need

  • We spend hundreds of hours tuning our machines, repairing them, maintaining them.
  • And it doesn’t get simpler as technology, machines, needs, … evolve.
  • But we have tools in hand to follow the fast pace of research in accelerators and user communities, and even lead the way.
  • The problem is : we need to change ourselves from within and work with each other, in a different way.

State of the art (1/2)

What people have been doing …

Introduction

Despite all the success stories, there are serious locks that prevent making global impact in the community !

State of the art (2/2)

… and who these people are

Connection between a sample of 375 publications in AI and accelerators1.

Some history

Consortium

[March 2023]
First meetings indico

[July 2023]
Workshop at CERN ;
35 participants indico

[November 2023]
Workshop in Paris.
70 participants indico

A Route toward Sustainable Data Generation in Accelerator Science” ; doi:10.5281/zenodo.10685243

Excellence

Methodology (1/2)

Methodology (2/2)

Objectives and ambitions

Impacts

Topic specific outcomes

  • Elevating Scientific and Industrial Competitiveness;
    • A well established network and EU work program in the field of AI for accelerators.
  • Enhanced SME competence in co-developed AI technologies with project participants ;
    • Number of participating SMEs in the training programs and co-developments.
  • Foundation for the development of innovative companies ;
    • Open-source and maintained tools.
  • Integration of RIs into a local, regional and European consortium ;
    • Openly accessible and maintained software solutions ;
  • Address research challenges and energy environment EU policies ;
    • Reduced environmental footprint
    • Increased beamtime for accelerators’ RIs
  • Increase of collaboration between RIs, universities and industry.
    • Published data-sets and tools.

Wider impacts

  • Enhanced global competitiveness and expansion of related industrial applications;
    • Collaborations catalyzed by the project outside EU countries and accelerators’ RIs.
  • Establishment of a long-term expertise of RI staff in AI technologies;
    • Trained RI staff on AI techniques and related technologies.
  • New industrial applications and services tailored to accelerators’ RIs.
    • New industrial services tailored to accelerators’ RIs emerging from the project.
  • Wider use of AI in accelerators’ RIs and enhanced data-driven research across the EU partners
    • Peer-reviewed publications ; Conference presentations Patents ; Media coverage ; Social media engagement.

Implementation

Implementation (1/2)

How we implement the methodology …

Implementation (2/2)

… and how it integrates in the work-packages

Management bodies

The consortium

14 countries, 30 institutes,15 RI,7 ESFRI RI, 3 companies, many more people.

Key competencies and skills

Normalised

Key competencies and skills

Weighted to PM

Key competencies and skills

Weighted to in-kind

Key competencies and skills

Weighted to cost

What happens next

The seed is planted

  • A large part of the European community is now organised around a central project.
  • But we need to keep the network alive … even if ARTIFACT is not funded.
    • Governance structure
  • At the same time, clusters are planned to appear, as leafs out of the seed.
    • Marie Curie exchange programs,
      ERC, national programs, …

Thank you

Questions ?

References

TIARA meeting