ΑΙhub.org
 

Forthcoming machine learning and AI seminars: August 2022 edition


by
09 August 2022



share this:
laptop and notebook

This post contains a list of the AI-related seminars that are scheduled to take place between 10 August 2022 and 30 September 2022. All events detailed here are free and open for anyone to attend virtually.

10 August 2022

Text-to-Image Generation – Deep Dive into DALL-E 2, Imagen, Parti, VQGAN
Speaker: Jerry Chi
Organised by: Machine Learning Tokyo
Sign up here.

15 August 2022

Deep Learning and the Natural Sciences: A Perfect Marriage?
Speaker: Max Welling
Organised by: Princeton AI Club
Visit the website nearer the time to sign up.

29 August 2022

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

6 September 2022

ME++: Data ethics for the computing classroom through biometrics, ballet, and AR
Speaker: Genevieve Smith-Nunes (University of Cambridge)
Organised by: Raspberry Pi
Join the mailing list for instructions on how to sign up.

7-9 September 2022

To trust or not to trust: When should AI be allowed to make decisions?
Speaker: Various speakers
Organised by: EPFL
Check the website nearer the time for instructions on how to join.

9 September 2022

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

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.

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.

27 September 2022

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


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 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: January 2025 – artists’ perspectives on generative AI, biomedical knowledge graphs, and ML for studying greenhouse gas e

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

Public competition for better images of AI – winners announced!

  28 Jan 2025
See the winning images from the Better Images of AI and Cambridge Diversity Fund competition.

Translating fiction: how AI could assist humans in expanding access to global literature and culture

  27 Jan 2025
Dutch publishing house Veen Bosch & Keuning (VBK) has confirmed plans to experiment using AI to translate fiction.

Interview with Yuki Mitsufuji: Improving AI image generation

  23 Jan 2025
Find out about two pieces of research tackling different aspects of image generation.

The Good Robot podcast: Using feminist chatbots to fight trolls with Sarah Ciston

  22 Jan 2025
Eleanor and Kerry chat to Sarah Ciston about the difficult labor of content moderation, chatbots to combat trolls, and more.

An open-source training framework to advance multimodal AI

  22 Jan 2025
EPFL researchers have developed 4M, a next-generation, framework for training versatile and scalable multimodal foundation models.

Optimizing LLM test-time compute involves solving a meta-RL problem

  20 Jan 2025
By altering the LLM training objective, we can reuse existing data along with more test-time compute to train models to do better.

Generating a biomedical knowledge graph question answering dataset

  17 Jan 2025
Introducing PrimeKGQA - a scalable approach to dataset generation, harnessing the power of large language models.




AIhub is supported by:






©2024 - Association for the Understanding of Artificial Intelligence


 












©2021 - ROBOTS Association