ΑΙhub.org
 

Forthcoming machine learning and AI seminars: February 2024 edition


by
12 February 2024



share this:
laptop and notebook

This post contains a list of the AI-related seminars that are scheduled to take place between 12 February and 31 March 2024. All events detailed here are free and open for anyone to attend virtually.

12 February 2024

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

Ulizallama: Swahili’s Leap into Large Language Models
Speaker: Jay Patel
Organised by: Lanfrica Talks
Link to join can be found here.

Flexible and Efficient Probabilistic Modeling with Tractable Circuits
Speaker: Martin Trapp (Aalto)
Organised by: Finnish Center for Artificial Intelligence
Zoom link here.

13 February 2024

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

Can we have pro-human AI?
Speaker: Daron Acemoğlu (MIT)
Organised by: The Digital Humanism (DIGHUM) Initiative
The talk will be livestreamed on YouTube here.

Generalization theory for diffusion models
Speaker: Frank Cole (University of Minnesota)
Organised by: University of Minnesota
Zoom registration here.

From Autonomy to Synergy: Envisioning Next Generation Human-AI Partnerships
Speaker: Sidney D’Mello (University of Colorado Boulder)
Organised by: University of Michigan
Zoom link here.

19 February 2024

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

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

20 February 2024

Physics of Learning and Computation in Natural and Artificial Neural Networks
Speaker: Hidenori Tanaka
Organised by: Harvard University
Check the website nearer the time for the streaming link.

The effect of Leaky ReLUs on the training and generalization of overparameterized networks
Speaker: Yinglong Guo (University of Minnesota)
Organised by: University of Minnesota
Zoom registration here.

22 February 2024

Title to be confirmed
Speaker: James Zou (Stanford University)
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 (Cornell University)
Organised by: Machine Learning NeEDS Mathematical Optimization
Join here.

27 February 2024

Improved Convergence Rates of Anderson Acceleration for a Large Class of Fixed-Point Iterations
Speaker: Casey Garner (University of Minnesota)
Organised by: University of Minnesota
Zoom registration here.

4 March 2024

Young Stars: three talks. 1) Learning Optimal Classification Trees Robust to Distribution Shifts, 2) Can machine learning methods effectively model travel mode choice? Beyond predictive performance, 3) Learning the Follower’s Objective Function in Sequential Bilevel Games
Speakers: Nathan Justin (University of Southern California), José Ángel Martín Baos (University of Castilla-La Mancha), Ioana Molan (Trier University)
Organised by: Machine Learning NeEDS Mathematical Optimization
Join here.

11 March 2024

Role of Analytics Professionals in Building a Data Driven Culture
Speaker: Pooja Dewan (Otis Elevator Company)
Organised by: Machine Learning NeEDS Mathematical Optimization
Join here.

12 March 2024

Title to be confirmed
Speaker: Nicholas Marshall (Oregon State University)
Organised by: University of Minnesota
Zoom registration available here nearer the time.

15 March 2024

ML-enhanced approaches to help accelerate materials design for extreme environments
Speaker: Lory Brady Graham-Brady (Johns Hopkins University)
Organised by: EPFL
Join here.

18 March 2024

FunSearch: Discovering new mathematics and algorithms using Large Language Models
Speaker: Bernardino Romera Paredes (Google DeepMind)
Organised by: Machine Learning NeEDS Mathematical Optimization
Join here.

19 March 2024

Title to be confirmed
Speaker: Philip Greengard (Columbia University)
Organised by: University of Minnesota
Zoom registration available here nearer the time.

26 March 2024

Causal discovery with incomplete data
Speaker: Vanessa Didelez (University of Bremen)
Organised by: University of Manchester
Sign up here.

Title to be confirmed
Speaker: Zhongqiang Zhang (Worcester Polytechnic Institute)
Organised by: University of Minnesota
Zoom registration available here nearer the time.


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 is Senior Managing Editor for AIhub.
Lucy Smith is Senior Managing Editor for AIhub.

            AUAI is supported by:



Subscribe to AIhub newsletter on substack



Related posts :

Disappearing lakes and AI are helping scientists map Arctic permafrost thaw in near‑real time

  18 Sep 2026
Researchers created an interactive website to track permafrost thaw across the Arctic.

How much can fair budget-division rules resist manipulation?

The authors write about their award-winning IJCAI-ECAI paper: "Approximate Strategyproofness in Approval-based Budget Division".

AI dives into a sea of data, from plankton to pollution

  16 Sep 2026
“Faster and cheaper monitoring means problems like plankton decline, litter accumulation, oil spills and coral degradation can be picked up and acted on sooner."

Interview with Yash Saxena: how is external knowledge used in AI systems?

  15 Sep 2026
What happens to information from external sources as it moves through an AI system?

When AI art has no author: Study finds generated images often can’t be traced to training data

  14 Sep 2026
A new method for surgically removing training examples from a model reveals that as datasets grow, the link between what a model learns and what it produces dissolves.

AI in nature conservation: powerful tool or dangerous shortcut?

  11 Sep 2026
AI provides opportunity for future biodiversity conservation but introduces risks .

Improving the process for large-scale recommender systems: an interview with Haruka Kiyohara

  10 Sep 2026
Credit-assigned policy gradient for early stage retrieval in two-stage ranking.

The Machine Ethics podcast: Data Collective with E.M. Lewis-Jong

Ben chats to E.M. Lewis-Jong about the promise of AI and making human connection easier, speech recognition and supporting linguistic diversity, making useful technologies that have a purpose, and more.



AUAI is supported by:







Subscribe to AIhub newsletter on substack




 















©2026.05 - Association for the Understanding of Artificial Intelligence