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

[bthirion]

*******************************************************************
>
> *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*
>
> *******************************************************************
>
> 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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> Neuroimaging at python.org
> https://mail.python.org/mailman/listinfo/neuroimaging


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