[Neuroimaging] First Inria-DFKI European Summer School on AI: registration open

[Jan Alexandersson]

Dear colleagues,

could you please distribute this summerschool announcement?

Beste Grüße, Best regards, Hälsningar,

Jan

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Dr. Jan Alexandersson
Research Fellow, Head AAL Competence Center DFKI GmbH,
Campus D3 2 Stuhlsatzenhausweg 3 D-66123 Saarbrücken, Germany
+49 681 85775 -5347 (office) -5341 (fax)
+49 179 1044317 (mobile)
Email: janal at dfki.de, http:
www.dfki.de/~janal, ccaal.dfki.de President,
OpenURC Alliance e.V. - www.openurc.org
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  Deutsches Forschungszentrum für Künstliche Intelligenz GmbH
  Trippstadter Strasse 122, D-67663 Kaiserslautern, Germany

  Geschäftsführung:
  Prof. Dr. Antonio Krüger
  Vorsitzender des Aufsichtsrats:
  Dr. Gabriël Clemens
  Amtsgericht Kaiserslautern, HRB 2313
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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... at inria.fr<https://groups.google.com/u/2/>.

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