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.

            AUAI is supported by:



Subscribe to AIhub newsletter on substack



Related posts :

The Machine Ethics podcast: Data Collective with E.M. Lewis-Jong

Ben chats to E.M. Lewis-Jong about the promise of AI and making human connection easier, speech recognition and supporting linguistic diversity, making useful technologies that have a purpose, and more.

AI for ethology: an interview with Isla Duporge

  08 Sep 2026
Deep learning is becoming a powerful tool for understanding animal behaviour and tracking populations.

AI in cardiology: The path to practical application carries risks

  07 Sep 2026
Can artificial intelligence help us better combat cardiovascular diseases? Legal researcher Hannah van Kolfschooten urges caution, as there are still many legal issues that need to be resolved.

AI-powered camera system offers low-cost way to monitor bumblebees

  04 Sep 2026
Researchers have developed a semi-automated method that uses remote cameras to survey bumblebees and potentially other insects.

Interview with Noah Golowich – theoretical foundations for learning in games and dynamic environments

  03 Sep 2026
Noah Golowich tells us about his research into the theory of decision making and learning in games, which have applications in Multi-Agent Reinforcement Learning.

Forthcoming machine learning and AI seminars: September 2026 edition

  02 Sep 2026
A list of free-to-attend AI-related seminars that are scheduled to take place in the next couple of months.
AI pioneers

Combining cultures, from code to canvas: an interview with Ken Goldberg

  01 Sep 2026
AI Pioneer Ken Goldberg on the clash of cultures within robotics, his career bridging art and science, and the meteoric rise of agentic robotics.

What happens when AI runs out of pictures?

AI is data-hungry and needs thousands of images to learn how to detect tumours or product defects, but often very few are available. A new method aims to change that.



AUAI is supported by:







Subscribe to AIhub newsletter on substack




 















©2026.05 - Association for the Understanding of Artificial Intelligence