Connectionists: First Inria-DFKI European Summer School on AI: registration open

[Emmanuel Vincent]

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*First Inria-DFKI European Summer School on AI (IDAI 2021)***

*                Trustworthy AI* and *AI for Medicine*

*                              Palaiseau, France*
*                               July 20-23, 2021*
*https://idessai.inria.fr/*

*               Registration deadline: April 19, 2021*

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IDAI 2021 inaugurates a series of yearly Summer Schools organized by the 
two renowned German and French AI institutes, DFKI and Inria. It stands 
out from the crowd of offerings for AI students in several respects:

  * We ensure a good balance in the number of participants and
    instructors: participants will have the opportunity to join a
    community of like-minded people and, at the same time, they will be
    in close contact with the experts.
  * Our program features a line-up of courses focused on two themes,
    Trustworthy AI and AI for Medicine, which are at the forefront of
    socio-economic issues related to AI.
  * On top of the latest methodological advances and the shared vision
    of the future that both organizing institutes have to offer, IDAI
    2021 will be practically oriented. We will achieve this through
    hands-on courses and the involvement of industry practitioners and
    innovators.
  * Participants will be offered to the opportunity to present their
    work to each other in dedicated poster/demo sessions.

Trustworthy AI and AI for Medicine will take place in two parallel 
tracks. There will be plenty of opportunities to exchange between these 
two tracks at coffee breaks, meals and social events, as well as through 
joint cross-track sessions.


*TARGETED AUDIENCE*

IDAI 2021 was designed for PhD students in all areas of AI, including 
machine learning, knowledge representation and reasoning, search and 
optimisation, planning and scheduling, multi-agent systems, natural 
language processing, robotics, computer vision, and other areas. PhD 
students in other fields, MSc students, postdocs, and researchers in 
industry are also welcome.


*VENUE*

IDAI 2021 is currently planned as a fully in-person event, which will 
take place at the Inria Saclay Île-de-France research center, close to 
Paris. Remote attendance will not be possible.

In case the pandemic will still not allow for an in-person event, IDAI 
2021 will take place as a fully virtual event at the same dates instead. 
We are closely monitoring the situation and will strive to make this 
decision as early as possible.


*CONFIRMED KEYNOTES AND SPEAKERS***

Cross-track keynotes:

**

  * Mihaela van der Schaar (University of Cambridge) - Why medicine is
    creating exciting new frontiers for machine learning and AI
  * Joanna Bryson (Hertie School) - AI ethics

Trustworthy AI track (to be completed):

  * Serge Abiteboul (Inria) - Responsible data analysis algorithms: a
    realistic goal?
  * Simon Burton (Fraunhofer IKS) - Safety, complexity, AI and automated
    driving - holistic perspectives on safety assurance
  * Michèle Sebag (CNRS - LISN) - Why and how learning causal models
  * Patrick Gallinari (Sorbonne University and Criteo AI Lab) - Deep
    learning meets numerical modeling
  * Christian Müller (DFKI) - Explaining AI with narratives
  * Catuscia Palamidessi (Inria) and Miguel Couceiro (University of
    Lorraine) - Addressing algorithmic fairness through metrics and
    explanations
  * Guillaume Charpiat (Inria), Zakaria Chihani (CEA), and Julien
    Girard-Satabin (CEA) - Formal verification of deep neural networks:
    theory and practice
  * Hatem Hajri (IRT SystemX) - Adversarial examples and robustness of
    neural networks

AI for Medicine track (to be completed):

  * Gerd Reis (DFKI) - AI in Medicine - An engineering perspective
  * Marco Lorenzi (Inria) - Federated learning methods and frameworks
    for collaborative data analysis
  * Gaël Varoquaux (Inria) - Dirty data science: machine learning on
    non-curated data
  * Thomas Moreau and Demian Wassermann (Inria) - Introduction to
    neuroimaging with Python
  * Francesca Galassi (Inria) and Rutger Fick (TRIBVN Healthcare) -
    Domain adaptation for the segmentation of multiple sclerosis lesions
    in brain MRI.
  * Tim Dahmen (DFKI) - Bio-mechanical simulation for individualized
    implants and prosthetics
  * Elmar Nöth (Friedrich-Alexander-University Erlangen-Nuremberg) -
    Automatic analysis of pathologic speech – from diagnosis to therapy
  * Pierre Zweigenbaum (CNRS - LIMSI) - NLP for medical applications

Open discussion with industry (to be completed):

  * Juliette Mattioli (Thales) and Frédéric Jurie (Safran) - Industry
    use cases involving trusted AI
  * Boris Dimitrov (Check Point Cardio) - Real-time online patient
    tele-monitoring

*
**FEES AND REGISTRATION*

Our fees are all-inclusive and may optionally include accomodation.

For more details and to register, see 
https://idessai.inria.fr/registration/ (deadline: April 19).

To ensure a good balance in the number of participants and instructors 
and maximize the chances of interaction, the number of attendees is 
limited to 50 per track. Applicants will be selected on the grounds of 
diversity and benefit gained from attending the selected track.


*ORGANIZERS*

Co-organized by: Inria, DFKI, Dataia, IRT SystemX

Contact us: idessai-contact at inria.fr.
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