ΑΙhub.org
 

Forthcoming machine learning and AI seminars: May 2023 edition


by
10 May 2023



share this:
laptop and notebook

This post contains a list of the AI-related seminars that are scheduled to take place between 10 May and 30 June 2023. All events detailed here are free and open for anyone to attend virtually.

10 May 2023

Natural Language Generation Problems and Challenges
Speaker: Konstantinos Diamantaras
Organised by: Chalmers AI Research Centre
Zoom link is here.

AI in programming education
Speaker: Simon McCallum and Arne Styve
Organised by: Norwegian Open AI Lab
Register here.

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
Join here.

15 May 2023

Multi-Fidelity Bayesian Optimization with Unreliable Information Sources
Speakers: Julien Martinelli (Aalto University)
Organised by: Finnish Center for Artificial Intelligence
Zoom link is here.

16 May 2023

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

On the Computational Complexity of Ethics: Moral Tractability for Minds and Machines
Speaker: Jakob Stenseke
Organised by: Chalmers AI Research Centre
Register here.

18 May 2023

Anomaly detection for a large number of streams: a permutation/rank-based higher criticism approach
Speaker: Rui Castro (TU Eindhoven)
Organised by: University of Lisbon
Register here.

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.

30 May 2023

Nexus of railway and power networks in net-zero transition: challenges and some solutions
Speaker: Kang Li (University of Leeds)
Organised by: University of Manchester
Register here.

A Total Variation Minimization Perspective on Trustworthy Federated Learning
Speakers: Alexander Jung (Aalto University)
Organised by: Finnish Center for Artificial Intelligence
Zoom link is here.

31 May 2023

Reasoning Algorithmically: from Toy Experiments to AGI Modules
Speaker: Petar Veličković (University of Cambridge and DeepMind)
Organised by: EPFL
Check here nearer the time for instructions on how to join.

1 June 2023

Machine-learning strategies in laser-plasma physics
Speaker: Andreas Döpp (Ludwig-Maximilians-Universität München)
Organised by: University of Lisbon
Register here.

Neural Architecture Search
Speaker: Dominik Loroch (Fraunhofer ITWM)
Organised by: Fraunhofer ITWM
Registration link will be available here nearer the time.

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

22 June 2023

Information geometry for nonequilibrium processes
Speaker: Artemy Kolchinsky (University of Tokyo)
Organised by: University of Lisbon
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 is Senior Managing Editor for AIhub.
Lucy Smith is Senior Managing Editor for AIhub.




            AIhub is supported by:


Related posts :



Interview with Amina Mević: Machine learning applied to semiconductor manufacturing

  17 Apr 2025
Find out how Amina is using machine learning to develop an explainable multi-output virtual metrology system.

Images of AI – between fiction and function

“The currently pervasive images of AI make us look somewhere, at the cost of somewhere else.”

Grace Wahba awarded the 2025 International Prize in Statistics

  16 Apr 2025
Her contributions laid the foundation for modern statistical techniques that power machine learning algorithms such as gradient boosting and neural networks.

Repurposing protein folding models for generation with latent diffusion

  14 Apr 2025
The awarding of the 2024 Nobel Prize to AlphaFold2 marks an important moment of recognition for the of AI role in biology. What comes next after protein folding?

AI UK 2025 conference recordings now available to watch

  11 Apr 2025
Listen to the talks from this year's AI UK conference.

#AAAI2025 workshops round-up 2: Open-source AI for mainstream use, and federated learning for unbounded and intelligent decentralization

  10 Apr 2025
We hear from the organisers of two workshops at AAAI2025 and find out the key takeaways from their events.

Accelerating drug development with AI

  09 Apr 2025
Waterloo researchers use machine learning to predict how new drugs could affect the body




AIhub is supported by:






©2024 - Association for the Understanding of Artificial Intelligence


 












©2021 - ROBOTS Association