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Montreal AI Symposium 2021, hybrid event (online and in-person)

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Montreal AI Symposium, hybrid event (in-person and online)

About this event

The Montreal AI Symposium was initially created to bring together experts and professionals interested in fundamental advances and applications of artificial intelligence, with an emphasis on machine learning, deep learning and related approaches from the greater Montreal Area. But it has evolved. It has become a celebration of the achievements of local Montrealers in AI and it has fostered discussion, discovery, and dissemination of machine learning and artificial tools to new areas and topics beyond their original applications, inspiring a new generation of AI-ers in the greater Montreal Area.

For more details, please see http://montrealaisymposium.com/

If you are interested in submitting your CV, please fill out the google form available on the MAIS 2021 website. All sponsor booths will be available in gather.town.

The event will be a hybrid event with both an online and limited in-person capacity.

Online Information:

  • All the talks will be live-streamed via Zoom.
  • Poster sessions and sponsor booths will take place in gather.town.
  • Information with Zoom and gather.town links will be sent right before the event starts.

In-person Information:

  • We have limited in-person capacity to allow some participants to attend in-person. Please answer "Yes" to the question in this event form if you are interested in attending the in-person event. We will get back to you with additional information if we are able to accommodate you for the event.
  • In-person event will take place at MILA in the Agora Cafe on Saturday, October 30 starting at 8:00 am - 6:30 pm with a lunch break.
  • Due to current health restrictions, we will be unable to provide any food or drinks.
  • You will need to show a vaccine passport (or a copy of your vaccine if from outside of Quebec) to attend as required by the health minister. You will not be allowed to enter the in-person event without one.
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