ΑΙhub.org
 

Forthcoming machine learning and AI seminars: September 2022 edition

by
09 September 2022



share this:
laptop and notebook

This post contains a list of the AI-related seminars that are scheduled to take place between 9 September 2022 and 31 October 2022. All events detailed here are free and open for anyone to attend virtually.

9 September 2022

The Free Energy Principle in the Edge of Chaos
Speaker: Inês Hipólito (Humboldt-Universität)
Organised by: University of Lisbon
Register here.

12 September 2022

Lingala speech translation
Speaker: Salomon Kabongo
Organised by: Lanfrica
Register here.

13 September 2022

AI ethics with Devdatt Dubhashi – Dangers, known and unknown with AI and Big Tech, and how to combat them
Speakers: Devdatt Dubhashi
Organised by: Chalmers University
Register here.

Title to be confirmed
Speaker: To be confirmed
Organised by: Carnegie Mellon University
Subscribe here.

The Back-And-Forth Method For Wasserstein Gradient Flows
Speaker: Wonjun Lee (University of Minnesota, Twin Cities)
Organised by: University of Minnesota
Register here.

14 September 2022

Deep learning for sequence design with a few data points
Speaker: Andrew White
Organised by: University of Michigan Medical School
Zoom link can be found here.

15 September 2022

Federated Learning with Formal User-level Differential Privacy Guarantees
Speaker: Brendan McMahan (Google)
Organised by: C3.ai DTI
Register for the series here.

17 September 2022

MLT __init__ Session #17: LLM.int8()
Speakers: Tim Dettmers, Mike Lewis, Younes Belkada, Luke Zettlemoyer
Organised by: Machine Learning Tokyo
Sign up here.

19 September 2022

Title to be confirmed
Speaker: Michela Milano (Università di Bologna)
Organised by: Machine Learning NeEDS Mathematical Optimization
Attend here.

20 September 2022

Title to be confirmed
Speaker: Matteo Croci (The University of Texas at Austin)
Organised by: University of Minnesota
The live stream will be available here.

Statistics: Maximum likelihood estimation 3
Speaker: Michal Fabinger
Organised by: Machine Learning Tokyo
Sign up here.

21 September 2022

Title to be confirmed
Speaker: Nir Sharon (Tel Aviv University)
Organised by: University of Minnesota
Check the website nearer the time for instructions for joining.

Title to be confirmed
Speaker: Joerg Lahann (University of Michigan)
Organised by: University of Michigan Medical School
Check here for the Zoom link nearer the time.

22 September 2022

New Approaches to Detecting and Adapting to Domain Shifts in Machine Learning
Speaker: Zico Kolter (Carnegie Mellon University)
Organised by: C3.ai DTI
Register for the series here.

26 September 2022

Title to be confirmed
Speaker: Bin Yu (UC Berkeley)
Organised by: Cambridge Centre for AI in Medicine
Register here nearer the time.

Beyond null hypothesis statistical testing: A Bayesian approach to analyze experimental ranking data
Speaker: José Antonio Lozano (Basque Center for Applied Mathematics)
Organised by: Machine Learning NeEDS Mathematical Optimization
Attend here.

27 September 2022

Towards actionable XAI
Speaker: Sebastian Lapuschkin
Organised by: AIDA
Zoom link is here.

AI ethics with Robert Long – ​How to think about alleged sentience in current AI systems
Speaker: Robert Long
Organised by: Chalmers University
Register here.

29 September 2022

Geometric Deep Learning: Grids, Graphs, Groups, Geodesics and Gauges
Speaker: Petar Veličković (DeepMind and University of Cambridge)
Organised by: University of Lisbon
Register here.

30 September 2022

Recent Advancements in Model Tuning
Speaker: DelSole Timothy (George Mason University)
Organised by: ECMWF
Check the website closer to the time to sign up.

3 October 2022

Title to be confirmed
Speaker: Surya Ganguli (Stanford)
Organised by: EPFL
Check the website nearer the time for instructions on how to join.

4 October 2022

Statistics: Maximum likelihood estimation 3
Speaker: Michal Fabinger
Organised by: Machine Learning Tokyo
Sign up here.

Title to be confirmed
Speaker: Casey Garner (University of Minnesota, Twin Cities)
Organised by: University of Minnesota
Check the website nearer the time for instructions for joining.

6 October 2022

Machine Learning at All Levels: A Pathway to “Autonomous” AI
Speaker: Eric Xing (Carnegie Mellon University)
Organised by: C3.ai DTI
Register for the series here.

10 October 2022

Title to be confirmed
Speaker: Gabriel Peyré (École Normale Supérieure)
Organised by: Machine Learning NeEDS Mathematical Optimization
Attend here.

11 October 2022

Title to be confirmed
Speaker: Pratik Chaudhari (University of Pennsylvania)
Organised by: University of Minnesota
Check the website nearer the time for instructions for joining.

13 October 2022

Adversarial Machine Learning from a Privacy Perspective
Speaker: Tom Goldstein (University of Maryland)
Organised by: C3.ai DTI
Register for the series here.

17 October 2022

Title to be confirmed
Speaker: Caroline Uhler (MIT)
Organised by: London School of Economics and Political Science
Register here.

18 October 2022

Title to be confirmed
Speaker: Yunpeng Shi (Princeton University)
Organised by: University of Minnesota
Check the website nearer the time for instructions for joining.

20 October 2022

Improving Communication for Differential Privacy: Insight from Human Behavior
Speaker: Rachel Cummings (Columbia University)
Organised by: C3.ai DTI
Register for the series here.

25 October 2022

Title to be confirmed
Speaker: Morgan Turner (University of Minnesota, Twin Cities)
Organised by: University of Minnesota
Check the website nearer the time for instructions for joining.

26 October 2022

Title to be confirmed
Speaker: Veronika Eyring (University of Bremen)
Organised by: Tuebingen University
Watch on the YouTube channel here.

Title to be confirmed
Speaker: Daniel Alexander (UCL
Organised by: Cambridge Centre for AI in Medicine
Register here nearer the time.

27 October 2022

AI Model Inspector: Towards Holistic Adversarial Robustness for Deep Learning
Speaker: Pin-Yu Chen (IBM)
Organised by: C3.ai DTI
Register for the series here.


To see past and forthcoming events for 2022, please see our dedicated 2022 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 , Managing Editor for AIhub.
Lucy Smith , Managing Editor for AIhub.




            AIhub is supported by:


Related posts :



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

DataLike: Interview with Tẹjúmádé Àfọ̀njá

"I place an emphasis on wellness and meticulously plan my schedule to ensure I can make meaningful contributions to what's important to me."




AIhub is supported by:






©2024 - Association for the Understanding of Artificial Intelligence


 












©2021 - ROBOTS Association