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Forthcoming machine learning and AI seminars: August 2023 edition

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07 August 2023



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This post contains a list of the AI-related seminars that are scheduled to take place between 7 August and 30 September 2023. All events detailed here are free and open for anyone to attend virtually.

31 August 2023

Harnessing Machine Learning for Climate Policy
Speaker: Angel Hsu (University of North Carolina and Data-Driven EnviroLab)
Organised by: Climate Change AI
Register here.

7 September 2023

Title to be confirmed
Speaker: To be confirmed
Organised by: I can’t believe it’s not better (ICBINB)
Check the website nearer the time for instructions on how to join.

12 September 2023

Title to be confirmed
Speaker: Jona Lelmi (University of California, Los Angeles)
Organised by: University of Minnesota
Check the website nearer the time for the Zoom link to join.

13 September 2023

Title to be confirmed
Speaker: To be confirmed
Organised by: Linköping University
Check the website nearer the time for joining instructions.

18 September 2023

On the Interplay of Optimal Transport and Distributionally Robust Optimization
Speaker: Daniel Kuhn (EPFL)
Organised by: Machine Learning NeEDS Mathematical Optimization
Attend here.

21 September 2023

Title to be confirmed
Speaker: Olga Mula (TU Eindhoven)
Organised by: University of Lisbon
Register here.

27 September 2023

Biorobotics for emulating and studying animal locomotion
Speakers: Andrew Biewener (Harvard), Auke Jan Ijspeert (EPFL), Robert Full (UC Berkeley)
Organised by: ITU and United Nations
Register here.


To see past and forthcoming events for 2023, please see our dedicated 2023 seminar page.

If you’d like to visit the webpages of the universities and other organisations that are running regular programmes of seminars, then click here to see our list.

If you are aware of any seminars (both standalone and series) that we’ve missed then please just send us an email and we’ll add them to the list.




Lucy Smith , Managing Editor for AIhub.
Lucy Smith , Managing Editor for AIhub.




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