ΑΙhub.org
 

Introducing new voices in AI


by
20 January 2022



share this:

We are very excited to announce our latest series: “New voices in AI”!

What is “New voices in AI”?

It can be hard to be heard over the sheer volume of AI research being generated every day. This is especially true for those starting out in the field, so here at AIhub we wanted to lend a hand. Therefore, in this series we amplify the voices of PhD students, early career researchers, and those in the field of AI with a fresh perspective.

Each episode I (Joe Daly) have a conversation with someone new about their work and what inspires them. Throughout the series we will include a range of AI topics from across the globe to highlight the great diversity in the field.

When and where can I find “New voices in AI”?

Starting from next week (Wednesday 26th January) we will be uploading a new interview to AIhub.org. The interviews might be in audio podcast or written format. Interviews in the podcast format will always have a transcript to ensure accessibility.

How can I get involved?

We always welcome suggestions for new people to feature and we would love to hear from you!

To get involved, or ask any questions about the series, contact me at joedaly.aihuborg@gmail.com


You can find all the series episodes here.



tags: ,


Joe Daly Engagement Manager for AIhub
Joe Daly Engagement Manager for AIhub

            AUAI is supported by:



Subscribe to AIhub newsletter on substack



Related posts :

Maryna Viazovska’s proofs of sphere packing formalized with AI

  27 Apr 2026
Formalization achieved through a collaboration between mathematicians and artificial intelligence tools.

Interview with Deepika Vemuri: interpretability and concept-based learning

  24 Apr 2026
Find out more about Deepika's research bridging the gap between data-driven models and symbolic learning.

As a ‘book scientist’ I work with microscopes, imaging technologies and AI to preserve ancient texts

  23 Apr 2026
Using an array of technologies to recover, understand and preserve many valuable ancient texts.

Sony AI table tennis robot outplays elite human players

  22 Apr 2026
New robot and AI system has beaten professional and elite table tennis players.

Causal models for decision systems: an interview with Matteo Ceriscioli

  21 Apr 2026
How can we integrate causal knowledge into agents or decision systems to make them more reliable?

A model for defect identification in materials

  20 Apr 2026
A new model measures defects that can be leveraged to improve materials’ mechanical strength, heat transfer, and energy-conversion efficiency.

‘Probably’ doesn’t mean the same thing to your AI as it does to you

  17 Apr 2026
Are you sure you and the AI chatbot you’re using are on the same page about probabilities?

Interview with Xinwei Song: strategic interactions in networked multi-agent systems

  16 Apr 2026
Xinwei Song tells us about her research using algorithmic game theory and multi-agent reinforcement learning.



AUAI is supported by:







Subscribe to AIhub newsletter on substack




 















©2026.02 - Association for the Understanding of Artificial Intelligence