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Forthcoming machine learning and AI seminars: January 2023 edition
This post contains a list of the AI-related seminars that are scheduled to take place between 9 January and 28 February 2023. All events detailed here are free and open for anyone to attend virtually.
9 January 2023
(Machine) Learnings from the Human Cell Atlas
Speaker: Sarah Teichmann
Organised by: EPFL
Sign up here.
12 January 2023
Machine learning beyond the data range: extreme quantile regression
Speaker: Sebastian Engelke (University of Geneva)
Organised by: University of Lisbon
Register here.
17 January 2023
Title to be confirmed
Speaker: Mauro Maggioni (Johns Hopkins University)
Organised by: University of Minnesota
Check the website nearer the time for the Zoom link to join.
19 January 2023
Title to be confirmed
Speaker: Alhussein Fawzi (DeepMind)
Organised by: University of Lisbon
Register here.
Title to be confirmed
Speaker: Regina Barzilay (MIT)
Organised by: Cambridge centre for AI in medicine
Check the website nearer the time for the link to join.
20 January 2023
Title to be confirmed
Speaker: Naomi Saphra
Organised by: University of Copenhagen
Register here nearer the time.
24 January 2023
Title to be confirmed
Speaker: Cynthia Rudin
Organised by: University of Michigan
Join here.
Title to be confirmed
Speaker: Meng-Yu (Jennifer) Kuo (University of Minnesota, Twin Cities)
Organised by: University of Minnesota
Check the website nearer the time for the Zoom link to join.
27 January 2023
Title to be confirmed
Speaker: Andrew White
Organised by: University of Copenhagen
Register here nearer the time.
30 January 2023
The Calabi-Yau landscape: a data science approach I
Speaker: Yang-Hui He (City University of London)
Organised by: University of Lisbon
Register here.
31 January 2023
AI ethics: Who are you when the systems fail? Contemporary existence as relations between law, ethics and automation
Speaker: Jenny Eriksson Lundström (Uppsala University)
Organised by: Chalmers AI Research Centre
Register here.
The Calabi-Yau landscape: a data science approach II
Speaker: Yang-Hui He (City University of London)
Organised by: University of Lisbon
Register here.
The Calabi-Yau landscape: a data science approach III
Speaker: Yang-Hui He (City University of London)
Organised by: University of Lisbon
Register here.
Title to be confirmed
Speaker: Angela Zhou
Organised by: University of Michigan
Join here.
1 February 2023
The Calabi-Yau landscape: a data science approach IV
Speaker: Yang-Hui He (City University of London)
Organised by: University of Lisbon
Register here.
The Calabi-Yau landscape: a data science approach V
Speaker: Yang-Hui He (City University of London)
Organised by: University of Lisbon
Register here.
2 February 2023
Universes as Bigdata: Physics, Geometry and Machine-Learning
Speaker: Yang-Hui He (City University of London)
Organised by: University of Lisbon
Register here.
7 February 2023
Advances in Data Science and AI
Speaker: Haiping Lu
Organised by: University of Sheffield
Sign up here.
10 February 2023
Title to be confirmed
Speaker: Stine Lomborg (University of Copenhagen)
Organised by: University of Copenhagen
Register here nearer the time.
13 February 2023
Title to be confirmed
Speaker: Marzyeh Ghassemi (MIT)
Organised by: Cambridge centre for AI in medicine
Check the website nearer the time for the link to join.
16 February 2023
Low Dimensional Manifolds for Neural Dynamics
Speaker: Sara A Solla (Northwestern University)
Organised by: University of Lisbon
Register here.
21 February 2023
Title to be confirmed
Speaker: Yuxin Chen (University of Pennsylvania)
Organised by: University of Minnesota
Check the website nearer the time for the Zoom link to join.
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.
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