ΑΙhub.org
 

Forthcoming machine learning and AI seminars: April 2023 edition


by
11 April 2023



share this:
laptop and notebook

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

11 April 2023

Learning in Stochastic Games
Speaker: Muhammed Omer Sayin (Bilkent University)
Organised by: University of Minnesota
Register here.

12 April 2023

Title to be confirmed
Speaker: Mohsen Mosleh
Organised by: New York University
The recording will be available here following the event.

17 April 2023

Tactical Planning under Imperfect Information: A Fast Matheuristic for Two-Stage Stochastic Programs Through Supervised Learning
Speaker: Emma Frejinger (Université de Montréal)
Organised by: Machine Learning NeEDS Mathematical Optimization
Attend here.

Title to be confirmed
Speaker: John Dudley (University of Cambridge)
Organised by: Cambridge Centre for AI in Medicine
Visit the website for instructions on how to join.

19 April 2023

On motor intelligence for continuum soft robots
Speaker: Cosimo Della Santina (TU Delft)
Organised by: EPFL
Zoom link is here.

20 April 2023

Learning Manifold-Structured Data using Deep Neural Networks: Theory and Applications
Speaker: Rongjie Lai (Rensselaer Polytechnic Institute)
Organised by: University of Lisbon
Register here.

Unfolding Local Growth Rate Estimates for(Almost) Perfect Adversarial Detection
Speaker: Peter Lorenz (Fraunhofer ITWM)
Organised by: Fraunhofer ITWM
Registration link will be available here nearer the time.

24 April 2023

Bridging Matching, Regression, and Weighting as Mathematical Programs for Causal Inference
Speaker: José Ramón Zubizarreta (Harvard University)
Organised by: Machine Learning NeEDS Mathematical Optimization
Attend here.

25 April 2023

Title to be confirmed
Speaker: Jennifer Kuo (University of Minnesota)
Organised by: University of Minnesota
Check the website nearer the time for the Zoom link to join.

AI Ethics: Pausing AI? The Ethics, History, Epistemology, and Strategy of Technological Restraint
Speaker: Matthijs Maas
Organised by: Chalmers AI Research Centre
Register here.

27 April 2023

Deep Reinforcement Learning based Integrated Guidance and Control for a Launcher Landing Problem
Speaker: Paulo Rosa (Deimos)
Organised by: University of Lisbon
Register here.

Tricks in Convolution Weight Space
Speaker: Paul Gavrikov (Hochschule Offenburg, Institute for Machine Learning and Analytics (IMLA))
Organised by: Fraunhofer ITWM
Registration link will be available here nearer the time.

2 May 2023

Title to be confirmed
Speaker: Elad Romanov (Stanford University)
Organised by: University of Minnesota
Check the website nearer the time for the Zoom link to join.

3 May 2023

Machine Learning Prediction of Global Ionospheric TEC and High-latitude ROTI Maps
Speaker: Lei Liu
Organised by: University of Colorado, Boulder
Vimeo link here.

4 May 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.

Mathematics for data science and AI – curriculum design, experiences, and lessons learned
Speaker: Diogo Gomes (KAUST)
Organised by: University of Lisbon
Register here.

Rethinking DNNs in the Frequency Domain
Speaker: Julia Grabinski (Fraunhofer ITWM)
Organised by: Fraunhofer ITWM
Registration link will be available here nearer the time.

11 May 2023

Exhaustive Symbolic Regression (or how to find the best function for your data)
Speaker: Harry Desmond (University of Portsmouth)
Organised by: University of Lisbon
Register here.

Physics-Constrained Deep Learning for Climate Downscaling
Speaker: Paula Harder (Fraunhofer ITWM)
Organised by: Fraunhofer ITWM
Registration link will be available here nearer the time.

16 May 2023

Deep Reinforcement Learning
Speaker: Klaus Dorer (Hochschule Offenburg)
Organised by: Fraunhofer ITWM
Registration link will be available here nearer the time.

25 May 2023

Deep Learning for Seismic Applications
Speaker: Ricard Durall (Fraunhofer ITWM)
Organised by: Fraunhofer ITWM
Registration link will be available here nearer the time.


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:



Subscribe to AIhub newsletter on substack



Related posts :

AI chatbots can effectively sway voters – in either direction

  12 Mar 2026
A short interaction with a chatbot can meaningfully shift a voter’s opinion about a presidential candidate or proposed policy.

Studying the properties of large language models: an interview with Maxime Meyer

  11 Mar 2026
What happens when you increase the prompt length in a LLM? In the latest interview in our AAAI Doctoral Consortium series, we sat down with Maxime, a PhD student in Singapore.

What the Moltbook experiment is teaching us about AI

An experimental social media platform where only AI bots can post reveals surprising lessons about artificial intelligence behaviour and safety.

The malleable mind: context accumulation drives LLM’s belief drift

  09 Mar 2026
LLMs change their "beliefs" over time, depending on the data they are given.

RWDS Big Questions: how do we balance innovation and regulation in the world of AI?

  06 Mar 2026
The panel explores the tensions, trade-offs and practical realities facing policymakers and data scientists alike.

Studying multiplicity: an interview with Prakhar Ganesh

  05 Mar 2026
What is multiplicity, and what implications does it have for fairness, privacy and interpretability in real-world systems?

Top AI ethics and policy issues of 2025 and what to expect in 2026

, and   04 Mar 2026
In the latest issue of AI Matters, a publication of ACM SIGAI, Larry Medsker summarised the year in AI ethics and policy, and looked ahead to 2026.

The greatest risk of AI in higher education isn’t cheating – it’s the erosion of learning itself

  03 Mar 2026
Will AI hollow out the pipeline of students, researchers and faculty that is the basis of today’s universities?



AIhub is supported by:







Subscribe to AIhub newsletter on substack




 















©2026.02 - Association for the Understanding of Artificial Intelligence