ΑΙhub.org
 

Forthcoming machine learning and AI seminars: January 2024 edition

by
23 January 2024



share this:
laptop and notebook

This post contains a list of the AI-related seminars that are scheduled to take place between 23 January and 29 February 2024. All events detailed here are free and open for anyone to attend virtually.

23 January 2024

Please Identify Yourself! What to expect of Europe’s ubiquitous digital identification infrastructure
Speaker: Thomas Lohninger
Organised by: The Digital Humanism (DIGHUM) Initiative
Zoom link is here.

Planning and Acting to Learn
Speaker: Paolo Traverso
Organised by: Italian Association for Artificial Intelligence
Watch live on YouTube here.

24 January 2024

eSpace Seminar – USSF-MIT researchers present their work : AI Technologies and simulation tools for SSA – Space Sustainability and Policy
Speakers: Jacqueline Smith and Tory Smith
Organised by: EPFL
Zoom link is here.

29 January 2024

Robust and sample-efficient simulation-based inference
Speaker: Ayush Bharti
Organised by: Finnish Center for Artificial Intelligence
Zoom link here.

30 January 2024

Optimal Transport Maps for Conditional Simulation
Speaker: Bamdad Hosseini
Organised by: University of Minnesota
Zoom registration here.

Scenarios for the future of AI – unblocking the logjam
Speaker: David Wood
Organised by: Chalmers University
Zoom registration here.

Realizing AI for Impact: Uncertainty and Human-Agent Collaboration in Multi-Agent Systems for Public Health and Conservation
Speaker: Elizabeth Bondi-Kelly
Organised by: University of Michigan
Zoom link here.

Deep learning and Process Understanding for Data-Driven Earth System Science
Speaker: Markus Reichstein
Organised by: AIDA
Zoom link here.

1 February 2024

Understanding Cellular Biology across multiple scales using machine learning
Speaker: Mohammad Lotfollahi
Organised by: Cambridge Centre for AI in Medicine
Sign up to the mailing list to receive invite to attend.

12 February 2024

Decentralized Bilevel Optimization
Speaker: Shiqian Ma
Organised by: Machine Learning NeEDS Mathematical Optimization
Join here.

13 February 2024

Can large language models that generate code help K–12 students effectively learn Python programming?
Speaker: Majeed Kazemi
Organised by: Raspberry PI
Sign up here to join.

19 February 2024

Risk Quadrangle and Applications: Support Vector Regression (SVR)
Speaker: Stan Uryasev
Organised by: Machine Learning NeEDS Mathematical Optimization
Join here.

Recent Advancements in Equilibrium Computation for Adversarial Team Games
Speaker: Nicola Gatti
Organised by: Italian Association for Artificial Intelligence
Watch live on YouTube here.

22 February 2024

Title to be confirmed
Speaker: James Zou
Organised by: Cambridge Centre for AI in Medicine
Sign up to the mailing list to receive invite to attend.

26 February 2024

Learning and Optimization: Separate or Integrate?
Speaker: Nathan Kallus
Organised by: Machine Learning NeEDS Mathematical Optimization
Join here.


To see past and forthcoming events for 2024, please see our dedicated 2024 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.



tags:


Lucy Smith , Managing Editor for AIhub.
Lucy Smith , Managing Editor for AIhub.




            AIhub is supported by:


Related posts :



AIhub coffee corner: Open vs closed science

The AIhub coffee corner captures the musings of AI experts over a short conversation.
26 April 2024, by

Are emergent abilities of large language models a mirage? – Interview with Brando Miranda

We hear about work that won a NeurIPS 2023 outstanding paper award.
25 April 2024, by

We built an AI tool to help set priorities for conservation in Madagascar: what we found

Daniele Silvestro has developed a tool that can help identify conservation and restoration priorities.
24 April 2024, by

Interview with Mike Lee: Communicating AI decision-making through demonstrations

We hear from AAAI/SIGAI Doctoral Consortium participant Mike Lee about his research on explainable AI.
23 April 2024, by

Machine learning viability modelling of vertical-axis wind turbines

Researchers have used a genetic learning algorithm to identify optimal pitch profiles for the turbine blades.
22 April 2024, by

The Machine Ethics podcast: What is AI? Volume 3

This is a bonus episode looking back over answers to our question: What is AI?
19 April 2024, by




AIhub is supported by:






©2024 - Association for the Understanding of Artificial Intelligence


 












©2021 - ROBOTS Association