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.

            AIhub is supported by:



Subscribe to AIhub newsletter on substack



Related posts :

AI chatbots can effectively sway voters – in either direction

  12 Mar 2026
A short interaction with a chatbot can meaningfully shift a voter’s opinion about a presidential candidate or proposed policy.

Studying the properties of large language models: an interview with Maxime Meyer

  11 Mar 2026
What happens when you increase the prompt length in a LLM? In the latest interview in our AAAI Doctoral Consortium series, we sat down with Maxime, a PhD student in Singapore.

What the Moltbook experiment is teaching us about AI

An experimental social media platform where only AI bots can post reveals surprising lessons about artificial intelligence behaviour and safety.

The malleable mind: context accumulation drives LLM’s belief drift

  09 Mar 2026
LLMs change their "beliefs" over time, depending on the data they are given.

RWDS Big Questions: how do we balance innovation and regulation in the world of AI?

  06 Mar 2026
The panel explores the tensions, trade-offs and practical realities facing policymakers and data scientists alike.

Studying multiplicity: an interview with Prakhar Ganesh

  05 Mar 2026
What is multiplicity, and what implications does it have for fairness, privacy and interpretability in real-world systems?

Top AI ethics and policy issues of 2025 and what to expect in 2026

, and   04 Mar 2026
In the latest issue of AI Matters, a publication of ACM SIGAI, Larry Medsker summarised the year in AI ethics and policy, and looked ahead to 2026.

The greatest risk of AI in higher education isn’t cheating – it’s the erosion of learning itself

  03 Mar 2026
Will AI hollow out the pipeline of students, researchers and faculty that is the basis of today’s universities?



AIhub is supported by:







Subscribe to AIhub newsletter on substack




 















©2026.02 - Association for the Understanding of Artificial Intelligence