ΑΙhub.org
 

Forthcoming machine learning and AI seminars: September 2023 edition


by
11 September 2023



share this:
laptop and notebook

This post contains a list of the AI-related seminars that are scheduled to take place between 11 September and 31 October 2023. All events detailed here are free and open for anyone to attend virtually.

12 September 2023

Large data limit of the MBO scheme for data clustering
Speaker: Jona Lelmi (University of California, Los Angeles)
Organised by: University of Minnesota
Zoom registration here.

AI Ethics: Algorithmic decision-making in public authority: the problem of democratic legitimacy
Speaker: Ludvig Beckman
Organised by: Chalmers AI Research Centre
Register here.

19 September 2023

Open Catalyst Project Tutorial: An Introduction to Machine Learning for Material Discovery
Speakers: John Kitchin (Carnegie Mellon University) and Zachary Ulissi (Meta’s Fundamental AI Research Lab)
Organised by: Climate Change AI
Register here.

21 September 2023

Optimal State and Parameter Estimation Algorithms and Applications to Biomedical Problems
Speaker: Olga Mula (TU Eindhoven)
Organised by: University of Lisbon
Register here.

26 September 2023

Information Gamma calculus: Convexity analysis for stochastic differential equations
Speaker: Wuchen Li (University of South Carolina)
Organised by: University of Minnesota
Zoom registration 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.

2 October 2023

Outcome Reasoning: the under-discussed engine powering black box development
Speaker: Mike Baiocchi (Stanford University)
Organised by: Machine Learning NeEDS Mathematical Optimization
Attend here.

3 October 2023

Discrete Curvature and Applications in Graph Machine Learning
Speaker: Melanie Weber (Harvard University)
Organised by: University of Minnesota
Register here.

AI Ethics: On Alan Turing’s Intelligent Machine Utopia
Speaker: Bernardo Gonçalves
Organised by: Chalmers AI Research Centre
Register here.

17 October 2023

Title to be confirmed
Speaker: Jiajia Yu (Duke University)
Organised by: University of Minnesota
Check the website nearer the time for Zoom registration.

20 October 2023

Projecting Flooding Across the United States: Climate Change as a Risk Multiplier
Speaker: Gabriele Villarini (Princeton University)
Organised by: ECMWF
Join via Teams here.

23 October 2023

Metrizing Fairness
Speaker: Daniel Kuhn (EPFL)
Organised by: Machine Learning NeEDS Mathematical Optimization
Attend here.

24 October 2023

Title to be confirmed
Speaker: Alex Gittens (Rensselaer Polytechnic Institute)
Organised by: University of Minnesota
Check the website nearer the time for Zoom registration.

30 October 2023

Challenges of Combining Forecasts from Correlated Sources
Speaker: Yael Grushka-Cockayne (University of Virginia)
Organised by: Machine Learning NeEDS Mathematical Optimization
Attend 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 is Senior Managing Editor for AIhub.
Lucy Smith is Senior Managing Editor for AIhub.




            AIhub is supported by:



Related posts :



ACM SIGAI Autonomous Agents Award 2026 open for nominations

  19 Nov 2025
Nominations are solicited for the 2026 ACM SIGAI Autonomous Agents Research Award.

Interview with Mario Mirabile: trust in multi-agent systems

  18 Nov 2025
We meet ECAI Doctoral Consortium participant, Mario, to find out more about his research.

Review of “Exploring metaphors of AI: visualisations, narratives and perception”

and   17 Nov 2025
A curated research session at the Hype Studies Conference, “(Don’t) Believe the Hype?!” 10-12 September 2025, Barcelona.

Designing value-aligned autonomous vehicles: from moral dilemmas to conflict-sensitive design

  13 Nov 2025
Autonomous systems increasingly face value-laden choices. This blog post introduces the idea of designing “conflict-sensitive” autonomous traffic agents that explicitly recognise, reason about, and act upon competing ethical, legal, and social values.

Learning from failure to tackle extremely hard problems

  12 Nov 2025
This blog post is based on the work "BaNEL: Exploration posteriors for generative modeling using only negative rewards".

How AI can improve storm surge forecasts to help save lives

  10 Nov 2025
Looking at how AI models can help provide more detailed forecasts more quickly.

Rewarding explainability in drug repurposing with knowledge graphs

and   07 Nov 2025
A RL approach that not only predicts which drug-disease pairs might hold promise but also explains why.



 

AIhub is supported by:






 












©2025.05 - Association for the Understanding of Artificial Intelligence