ΑΙhub.org
 

Forthcoming machine learning and AI seminars: March 2024 edition


by
11 March 2024



share this:
laptop and notebook

This post contains a list of the AI-related seminars that are scheduled to take place between 11 March and 30 April 2024. All events detailed here are free and open for anyone to attend virtually.

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.

Navigating Tomorrow: Putting People at the Helm of Maritime Digitalization and Automation
Speaker: Mashrura Musharraf (Aalto University)
Organised by: Finnish Center for Artificial Intelligence
Zoom link here.

12 March 2024

Random High-Dimensional Binary Vectors, Kernel Methods, and Hyperdimensional Computing
Speaker: Nicholas Marshall (Oregon State University)
Organised by: University of Minnesota
Zoom registration here.

Title to be confirmed
Speaker: Misha Khodak (Carnegie Mellon University)
Organised by: Carnegie Mellon University
Zoom link is here.

The impact of AI tools on the student experience in programming courses: A preliminary study with an intersectional analysis approach
Speakers: Yash Tadimalla & Prof. Mary Lou Maher (University of North Carolina at Charlotte)
Organised by: Raspberry PI
Sign up here to join.

15 March 2024

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

Trustworthy AI: Exploring Causality and Generative Models for Better-Informed Predictions
Speaker: Francesco Quinzan (University of Oxford)
Organised by: UCL ELLIS
Join here.

Empowering Climate Tech Angel Investors
Speakers: Jennifer Turliuk and Vijay Rajendran (Climate Angels)
Organised by: Climate Change AI
Register 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

Fourier representations for fast Gaussian process regression
Speaker: Philip Greengard (Columbia University)
Organised by: University of Minnesota
Zoom registration here.

Real feeling and fictional time in human-AI interaction
Speaker: Joel Krueger (University of Exeter)
Organised by: University of Oslo
Watch on YouTube here.

Algorithmic Institutionalism
Speaker: Virgilio Almeida (Harvard University & Universidade Federal de Minas Gerais)
Organised by: The Digital Humanism (DIGHUM) Initiative
The talk will be livestreamed on YouTube here.

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.

Title to be confirmed
Speaker: Ashia Wilson (MIT)
Organised by: Carnegie Mellon University
Zoom link is here.

Predicting Classifier Accuracy in the Wild
Speaker: Fabrizio Sebastiani (ISTI-CNR)
Organised by: AIDA
Zoom link here.

2 April 2024

Title to be confirmed
Speaker: Rafael M. Frongillo (University of Colorado, Boulder)
Organised by: Carnegie Mellon University
Zoom link is here.

Advancing Machine-Learned Interatomic Potentials: Enhancing Accuracy and Robustness in Materials Science Applications
Speaker: Yangshuai Wang (University of British Columbia)
Organised by: University of Minnesota
Zoom registration here.

8 April 2024

Young Stars: three talks. 1) Factor Model of Mixtures, 2) Estimate-Then-Optimize versus Integrated-Estimation-Optimization versus Sample Average Approximation: A Stochastic Dominance Perspective, 3) Unboxing Tree Ensembles for interpretability: a hierarchical visualization tool and a multivariate optimal re-built tree
Speakers: Cheng Peng (Stony Brook University), Haofeng Zhang (Columbia University), Giulia Di Teodoro (Sapienza University of Rome)
Organised by: Machine Learning NeEDS Mathematical Optimization
Join here.

9 April 2024

Title to be confirmed
Speaker: Ananya Joshi (Carnegie Mellon University)
Organised by: Carnegie Mellon University
Zoom link is here.

Title to be confirmed
Speaker: Wai-Tong (Louis) Fan (Indiana University)
Organised by: University of Minnesota
Zoom registration available here nearer the time.

AI Ethics: Cooperating with Stochastic Parrots?
Speaker: David Manheim (Technion)
Organised by: Chalmers University
Zoom registration here.

16 April 2024

Title to be confirmed
Speaker: Mingjie Sun (Carnegie Mellon University)
Organised by: Carnegie Mellon University
Zoom link is here.

Title to be confirmed
Speaker: Hongkai Zhao (Duke University)
Organised by: University of Minnesota
Zoom registration available here nearer the time.

Generative AI in programming education: Bridging the gap from school to what lies ahead
Speaker: Brett A. Becker (University College Dublin)
Organised by: Raspberry PI
Sign up here to join.

22 April 2024

Integrating Stochastic Optimization and Machine Learning via Residuals
Speaker: Güzin Bayraksan (Ohio State University)
Organised by: Machine Learning NeEDS Mathematical Optimization
Join here.

23 April 2024

Title to be confirmed
Speaker: Wenrui Hao (The Pennsylvania State University)
Organised by: University of Minnesota
Zoom registration available here nearer the time.

29 April 2024

Young Stars: three talks. 1) A predict-and-optimize approach to profit-driven churn prevention, 2) Mixed-Integer Quadratic Optimization and Iterative Clustering Techniques for Semi-Supervised Support Vector Machines, 3) Reliable Data-driven Decision Making
Speakers: Nuria Gómez-Vargas (University of Seville), Maria Eduarda Pinheiro (Trier University), Bahar Taskesen (EPFL)
Organised by: Machine Learning NeEDS Mathematical Optimization
Join here.

30 April 2024

Title to be confirmed
Speaker: Guannan Zhang (Oak Ridge National Laboratory)
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 :



AIhub blogpost highlights 2024

  30 Dec 2024
As the year draws to a close, we take a look back at some of our favourite blog posts.

AIhub interview highlights 2024

  27 Dec 2024
Join us for a look back at some of the interviews we've conducted with members of the AI community.

New AI tool generates realistic satellite images of future flooding

  24 Dec 2024
The method could help communities visualize and prepare for approaching storms.

2024 AAAI / ACM SIGAI Doctoral Consortium interviews compilation

  20 Dec 2024
We collate our interviews with the 2024 cohort of doctoral consortium participants.

Interview with Andrews Ata Kangah: Localising illegal mining sites using machine learning and geospatial data

  19 Dec 2024
We spoke to Andrews to find out more about his research, and attending the AfriClimate AI workshop at the Deep Learning Indaba.

#NeurIPS social media round-up part 2

  18 Dec 2024
We pick out some highlights from the second half of the conference.

The Good Robot podcast: Machine vision with Jill Walker Rettberg

  17 Dec 2024
Eleanor and Kerry talk to Jill about machine vision's origins in polished volcanic glass, whether or not we'll actually have self-driving cars, and a famous photo-shopped image.




AIhub is supported by:






©2024 - Association for the Understanding of Artificial Intelligence


 












©2021 - ROBOTS Association