Our News & Updates

2026, the year we shine

Vukosi Marivate is a Professor of Computer Science and the ABSA UP Chair of Data Science at the University of Pretoria, South Africa🇿🇦. Vukosi leads the African Institute for Data Science and Artificial Intelligence (AfriDSAI). Additionally, he co-founded both the...

Building Africa’s AI Future Together

Tejumade Afonja is a PhD Researcher at the CISPA Helmholtz Center for Information Security in Germany, where her work explores trustworthy AI, generative models, and synthetic tabular data. She is the 2025 Deep Learning Indaba General Chair and previously chaired the...

When Community Leads: Rwanda to Host the 2025 Annual Deep Learning Indaba

Pierrette Mahoro Mastel currently works at GIZ as a Digital Health Advisor, prior to that she was at CMU-Africa where she did her Masters in IT with a major in Machine Learning. Mastel is the IndabaX Rwanda lead and one of the 2025 General Chairs for the Indaba to be...
The Missing Continent

The Missing Continent

The missing continent is a known phrase in the Indaba community. It is one of the phrases that sparked the Indaba movement. Those who have attended Deep Learning Indaba are familiar with the initial email thread that went between the founders of Deep Learning Indaba,...

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Finding Our “Why” in the Indaba Community

My name is Aya Salama. Since 2019, I've had the privilege of being involved with the Indaba community, starting when I first applied to host an IndabaX in Egypt. Throughout the years, I've contributed to various committees including the IndabaX Steering Committee,...

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Call for Workshop Proposals DLI 2024

The Deep Learning Indaba (DLI) is the annual meeting of the African machine learning and AI community with the mission to strengthen African AI. This year, it will be taking place in Dakar, Senegal, from the 1st to the 7th of September 2024 at Amadou Mahtar Mbow...

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From Consumers to Creators of Machine Learning

Becoming creators of machine learning  We have heard calls for us, the African Machine Learning (ML) community, to move beyond being consumers of the latest ML techniques (such as 1 and 2). Whether we are solving African problems or core theoretical challenges,...

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