ΑΙhub.org
 

Forthcoming machine learning and AI seminars: July 2021 edition


by
12 July 2021



share this:
laptop and notebook

This post contains a list of the AI-related seminars that are scheduled to take place between 13 July and 31 August 2021. All events detailed here are free and open for anyone to attend virtually.

13 July 2021

The 6G Radio Access Opportunity – Joint Communications & Sensing
Speaker: Gerhard Fettweis (TU Dresden)
Organised by: One World Signal Processing
To attend, subscribe to the One World Signal Processing mailing list.

Symbolic, Statistical, and Causal Representations
Speaker: Bernhard Schölkopf
Organised by: AIDA – Artificial Intelligence Doctoral Academy
You can find the Zoom link and passcode here.

14 July 2021

Machine learning in climate finance
Speakers: Nataliya Tkachenko, David Carlin, Chinmay Adhvaryu
Organised by: Climate Change AI
Registration via eventbrite.

Mitigating algorithmic bias in AI systems
Speaker: Nicol Turner Lee
Organised by: The Alan Turing Institute
Register here.

15 July 2021

Title to be confirmed
Speaker: Ishai Menache (Microsoft Research)
Organised by: C3.ai DTI
Register here.

Title to be confirmed
Speaker: Chris Kedzie
Organised by: Stanford MLSys
Join the email list to find out how to register for each seminar.

16 July 2021

Title to be confirmed
Speaker: Bernadette Minton (MCG Health)
Organised by: University of San Francisco
Register here.

18 July 2021

MLT __init__ Session #7: An Image is Worth 16×16 Words
Speakers: Devansh Jayson Cunanan and J Miguel Valverde
Organised by: Machine Learning Tokyo
Sign up here.

22 July 2021

Title to be confirmed
Speaker: Murat Arcak (UC Berkeley)
Organised by: C3.ai DTI
Register here.

Title to be confirmed
Speaker: Marinka Zitnik (Harvard Medical School)
Organised by: Trustworthy ML
Join the mailing list for instructions on how to sign up, or check the website a few days beforehand for the Zoom link.

Title to be confirmed
Speaker: Jacopo Tagliabue
Organised by: Stanford MLSys
Join the email list to find out how to register for each seminar.

28 July 2021

Title to be confirmed
Speaker: Simon Du (University of Washington)
Organised by: University of Lisbon
Register here.

29 July 2021

Title to be confirmed
Speaker: John Doyle (California Institute of Technology)
Organised by: C3.ai DTI
Register here.

Title to be confirmed
Speaker: Suman Jana
Organised by: Stanford MLSys
Join the email list to find out how to register for each seminar.
Back to top

5 August 2021

Title to be confirmed
Speaker: Hoda Heidari (Carnegie Mellon University)
Organised by: Trustworthy ML
Join the mailing list for instructions on how to sign up, or check the website a few days beforehand for the Zoom link.

Title to be confirmed
Speaker: Chaoyang He
Organised by: Stanford MLSys
Join the email list to find out how to register for each seminar.

12 August 2021

Title to be confirmed
Speaker: Pooyan Jamshidi
Organised by: Stanford MLSys
Join the email list to find out how to register for each seminar.

19 August 2021

Rising stars spotlights
Speakers: To be confirmed
Organised by: Trustworthy ML
Join the mailing list for instructions on how to sign up, or check the website a few days beforehand for the Zoom link.


For a more complete list, including past events back to June 2020, please see our dedicated 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.

            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