ΑΙhub.org
 

Forthcoming machine learning and AI seminars: December 2023 edition

by
01 December 2023



share this:
laptop and notebook

This post contains a list of the AI-related seminars that are scheduled to take place between 1 December 2023 and 31 January 2024. All events detailed here are free and open for anyone to attend virtually.

1 December 2023

Unraveling Yorùbá’s Tonal Tapestry: Advances and Challenges in Speech Recognition Through HuBERT’s Lens
Speaker: Opeyemi Osakuade
Organised by: Lanfrica
The Zoom link is here.

4 December 2023

Adaptive Transport Systems through Operations Research, Behavioral Modeling and Machine Learning
Speaker: Bilge Atasoy (Delft University of Technology)
Organised by: Machine Learning NeEDS Mathematical Optimization
Attend here.

Title to be confirmed
Speaker: Dan Fu (Stanford University, Together)
Organised by: Stanford MLSys
Check the website for the livestream link.

5 December 2023

Outliers with Opposing Signals Have an Outsized Effect on Neural Network Optimization
Speaker: Elan Rosenfeld (Carnegie Mellon University)
Organised by: Carnegie Mellon University
The Zoom link is here.

Learning in the presence of low-dimensional structure: a spiked random matrix perspective
Speaker: Denny Wu (New York University)
Organised by: University of Minnesota
Zoom registration is here.

AI Ethics: Sustainable and human-centered intelligent systems – How co-creation with generative AI can help us to think differently
Speaker: Didem Gürdür Broo
Organised by: Chalmers AI Research Centre
Register here.

Panel discussion: Forest monitoring for carbon stock estimation
Speakers: Elias Ayrey (Renoster), Martha Morrissey (Pachama) and Leland Werden (ETH Zurich)
Organised by: Climate Change AI
Register here.

13 December 2023

Feminist AI lecture series
Speakers: Catherine D’Ignazio and Vanessa Graf
Organised by: University of Arts Linz
Register here.

19 December 2023

The ethics of racing towards the AI precipice
Speaker: Olle Häggström
Organised by: Chalmers AI Research Centre
Register here.

Variational Audio-Visual Representation Learning
Speaker: Xavier Alameda-Pineda (Inria)
Organised by: AIDA
The Zoom link is here.

10 January 2024

Feminist AI lecture series
Speakers: Os Keyes and Qingyi Ren
Organised by: University of Arts Linz
Register here.

11 January 2024

The ALeRCE astronomical alert broker
Speaker: Francisco Förster Burón (Universidad de Chile)
Organised by: University of Lisbon
Register here.

30 January 2024

Title to be confirmed
Speaker: Bamdad Hosseini
Organised by: University of Minnesota
Check the website nearer the time for Zoom registration.


To see past and forthcoming events for 2023 and 2024, please see our dedicated 2023/2024 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 :



#ICLR2024 invited talk: Priya Donti on why your work matters for climate more than you think

How is AI research related to climate, and how can the AI community better align their work with climate change-related goals?
21 May 2024, by

Congratulations to the #ICRA2024 best paper winners

The winners and finalists in the different categories have been announced.
20 May 2024, by

Trotting robots offer insights into animal gait transitions

A four-legged robot trained with machine learning has learned to avoid falls by spontaneously switching between walking, trotting, and pronking
17 May 2024, by

Machine learning enhances monitoring of threatened marbled murrelet

CNN analysis of data gathered by acoustic recording devices is a promising new tool for monitoring secretive species.
16 May 2024, by

Introducing AfriClimate AI

Find out about AfriClimate AI from two of the founders, Rendani Mbuvha and Amal Nammouchi.

Understanding AI outputs: study shows pro-western cultural bias in the way AI decisions are explained

Researchers found that many existing systems may produce explanations that are primarily tailored to individualist, typically western, populations
14 May 2024, by




AIhub is supported by:






©2024 - Association for the Understanding of Artificial Intelligence


 












©2021 - ROBOTS Association