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.




            AIhub is supported by:


Related posts :



monthly digest

AIhub monthly digest: June 2025 – gearing up for RoboCup 2025, privacy-preserving models, and mitigating biases in LLMs

  26 Jun 2025
Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.

RoboCupRescue: an interview with Adam Jacoff

  25 Jun 2025
Find out what's new in the RoboCupRescue League this year.

Making optimal decisions without having all the cards in hand

Read about research which won an outstanding paper award at AAAI 2025.

Exploring counterfactuals in continuous-action reinforcement learning

  20 Jun 2025
Shuyang Dong writes about her work that will be presented at IJCAI 2025.

What is vibe coding? A computer scientist explains what it means to have AI write computer code − and what risks that can entail

  19 Jun 2025
Until recently, most computer code was written, at least originally, by human beings. But with the advent of GenAI, that has begun to change.

Gearing up for RoboCupJunior: Interview with Ana Patrícia Magalhães

  18 Jun 2025
We hear from the organiser of RoboCupJunior 2025 and find out how the preparations are going for the event.

Interview with Mahammed Kamruzzaman: Understanding and mitigating biases in large language models

  17 Jun 2025
Find out how Mahammed is investigating multiple facets of biases in LLMs.

Google’s SynthID is the latest tool for catching AI-made content. What is AI ‘watermarking’ and does it work?

  16 Jun 2025
Last month, Google announced SynthID Detector, a new tool to detect AI-generated content.



 

AIhub is supported by:






©2025.05 - Association for the Understanding of Artificial Intelligence


 












©2025.05 - Association for the Understanding of Artificial Intelligence