We welcome submitted talks 🎤!
Abstract submissions are closed.
Applications are now closedWe encourage unpublished and already published works alike.
We are currently only considering in-person presentations.
We welcome submissions for flash talks (~ 5 min), short talks (~15 min), and long talks (~30 min). If your abstract is accepted, we will communicate with you what length format works best, considering your submitted preferences and our requirements.
This form includes space to submit your research for a talk and/or poster. You should have the following items prepared: (1) title (2) EITHER ~300 abstract OR an existing publication.
The Indaba𝕏 is NOT a “pay-to-speak” affair. Sponsors and speakers are independently organised, but can overlap.
Published work
We welcome the submission of published work for a talk or poster.
Unpublished work
Abstracts will be evaluated on the basis of a submitted abstract.
The submission should clearly explain why your question is important and how your claims will advance the field. Include enough detail that reviewers can assess the technical content of your methods and results. Please be sure to address the significance and fit of your submission for the audience, which includes a mix of academics and industry interested in the functional properties of deep learning and machine learning.
We suggest following the guidelines here.
Every attendee can bring a poster to the Indaba𝕏! Please see AI Fest for more info.