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Deep Learning Indaba𝕏
South Africa

09 - 12 Jul, 2024

A Deep Learning Indaba𝕏 is a locally-organised “Indaba” or conference that helps ensure that knowledge and capacity in machine learning are spread more widely across the African continent.


Academia
🔭
R1700

Register now

Deadline: Fri 05 Jul 2024 at 23:00:00 (+0200)

Acceptance: upon payment

Industry
🛠
R3400

Register now

Deadline: Fri 05 Jul 2024 at 23:00:00 (+0200)

Acceptance: upon payment

Studying
🎓
Free!

Closed!

Acceptance: 6th June (approx.)

Present a talk
🎤

Closed!

Acceptance: 1st June (approx.)


Machine learning and artificial intelligence conference

Duration

Jul 09, 2024 - Jul 12, 2024

The conference will be a multi-day event featuring…

400+
attendees

50+
speakers

4+
tutorials

50+
posters

2+
hackathon problems

Partners

view all

🙌 Supporters

Deep Learning Indaba

🐘 African Elephant (R100 000+)

NITheCS
DST-NRF Centre of Excellence in Mathematical and Statisical Sciences (CoE-MaSS)

🖼️ White Rhino (Poster session)

AI Expo Africa

🧤 Community

Sisonke Biotik
Masakhane
DSI Africa
SAAIA - South African Artificial Intelligence Association
AI Media Group

🏛 Affiliated institutions

AIMS
University of Cape Town
University of the Witwatersrand
University of Pretoria
University of KwaZulu-Natal
Insitute of Science and Technology Austria
CSIR
Centre for AI Research
Computational Neuroscience Imbizo

Asad Jeewa

University of KwaZulu-Natal

Fundamentals of Reinforcement Learning

Day 2 - 10h25 - 12h00

Research Research RL RL

Athandiwe Saba

Code for Africa

The Power of AI to Fight Information Manipulation

Day 3 - 14h25 - 15h30

AI Ethics AI Ethics AI in Africa AI in Africa Language Language

Bigomokero Antoine Bagula

University of the Western Cape

Transforming Networking Through Artificial Intelligence: From Best Effort to Knowledge Aware Networking

Day 1 - 10h25 - 12h00

AI in Africa AI in Africa Keynote Keynote MLOps MLOps

Charl Van Heerden

Saigen

Speech Recognition for Africa

Day 2 - 10h25 - 12h00

AI in Africa AI in Africa Language Language

Chijioke Okorie

University of Pretoria

Intellectual Property, Data, and Technology, in terms of Governance

Day 1 - 10h25 - 12h00

AI in Africa AI in Africa Legal Legal

Emmanuel Dufourq

African Institute for Mathematical Sciences (AIMS)

Deep Learning and Wildlife Monitoring

Day 1 - 13h00 - 14h00

BioAI BioAI Deep Learning Deep Learning Keynote Keynote

Frans Meyer

Alphawave

Disciplined Entrepreneurship for AI Startups

Day 3 - 13h00 - 14h00

Applied ML & Industry Applied ML & Industry Workshop Workshop

Henrica Makulu Kadira

Medscheme Holdings

Using Data to Inform and Inspire Action

Day 3 - 09h00 - 10h00

AI in Africa AI in Africa Data Science Data Science Keynote Keynote

Jabu Mtsweni

Council for Scientific and Industrial Research (CSIR)

The Good and not so Good of Cybersecurity for AI & AI for Cybersecurity

Day 1 - 09h00 - 10h00

AI Ethics AI Ethics Research Research

Jonathan Shock

University of Cape Town

Reinforcement Learning: Meta, Offline, Multi-agent and more

Day 3 - 13h00 - 14h00

Research Research RL RL

Kayode Adetunji

Leveraging AI and ML for Innovations in African Healthcare.

Day 3 - 13h00 - 14h00

Explainable AI Explainable AI Healthcare Healthcare

Michelle Skelton

UCT

DS-I Africa - Harnessing Data Science for Health Discovery and Innovation in Africa

Day 3 - 13h00 - 14h00

Healthcare Healthcare Research Research

Mpho Primus

Institute for Intelligent Systems, Primus Tech Hub

NLP for Africa: Trends and Perspectives

Day 2 - 09h00 - 10h00

AI in Africa AI in Africa Keynote Keynote Language Language

Neelan Pather

Analytix Engine

Leveraging ML in Big Data Analytics for Business Success

Day 1 - 14h25 - 16h00

Applied ML & Industry Applied ML & Industry ML ML

Pelonomi Moiloa

Lelapa AI

Organizing African Talent to Move Humanity Forward: Language Technology for Africa

Day 0 - 13h30 - 14h30

AI in Africa AI in Africa Keynote Keynote Language Language

Siphiwe Thwala

IBM Research

Biomedical Text Insights Extraction

Day 3 - 13h00 - 14h00

BioAI BioAI Data Science Data Science

Steven James

University of the Witwatersrand

Concurrent and Temporal Composition for Zero-shot Transfer in Reinforcement Learning

Day 3 - 13h00 - 14h00

Keynote Keynote Research Research RL RL

Terence Van Zyl

University of Johannesburg

Deep Learning : The Journey from Feature Engineering to Representation Learning

Day 1 - 10h25 - 12h00

Deep Learning Deep Learning Foundations Foundations

Zubeida Dawood

CSIR/ TUT/ WITS Business School

Real-world Applications of Ontology Engineering in Deep Learning : A Cybersecurity Learning Factory Use Case

Day 1 - 10h25 - 12h00

Deep Learning Deep Learning Research Research

What people say about the Indaba𝕏

The incredible diversity of experiences and backgrounds of people in the AI and ML field. Everyone has a unique story.

The IndabaX is an amazing event that changed my perspective on how ML can be used in Africa. I am so glad I attended and I would recommend it to anyone.

My key take aways from the conference were in the academia side; I really enjoyed being in the Company of the people I have had around me. They were very intelligent group of People, ranging from the event organizers to the lectures whom shared their years of acquired experience with passion to my fellow students whom were also so accommodating and intelligent. The positive mindset I have acquired from the IndabaX conference was just what I needed to align my personal life with the research project I am currently working on; to know that there are similar minded people out there whom are also working on solving real life problems using science really reenergized me. I thank you kindly for the opportunity.

I enjoyed meeting different people, who are doing very different from what i do and seeing things from their perspective. The keynote were wildly helpful and interesting, so was the panel discussion. I realized that there is no one straight path in AI and ML and that a lot of us can take very different routes and sort of end up at the same place which is interesting.

I am an intermediate in research and reinforcement learning with interest in working in industry. Therefore, the whole conference was my key take away in a way. I attended all reinforcement learning related talks, from the foundations to the applied ML and industry. It was interesting how RL was first introduced before moving on to how it is applied. That was thoughtful and accommodating.

I think the conference did very well when it came to diversity and inclusion, this is highly attributed to the fact that it did not only focus on the technical side of things but included people from different background and cultures with different life experiences. How they came together towards working on solving real life problems really shows the success of this event.

In terms of people, I think there’s an even proportion amongst all genders and race. Including applied ML and industry was truly outstanding because not everyone wants to be in research and academia. The talks were so diverse that most industry were included.

Organising committee

photo of Abdel Mfougouon Njupoun

Local organiser, Hackathon, AI Fest, National logistics

Abdel Mfougouon Njupoun

University of the Witwatersrand
photo of Ahmed Ghoor

Programme, AI Fest

Ahmed Ghoor

Muslim Impact Lab
photo of Aldrin Ngorima

Marketing, AI Fest

Aldrin Ngorima

North-West University
photo of Anil Pise

Local organiser, AI Fest

Anil Pise

Deloitte
photo of Anna Bosman

Executive Director

Anna Bosman

University of Pretoria
photo of Callum Rhys Tilbury

Programme

Callum Rhys Tilbury

InstaDeep Ltd
photo of Christopher Currin

Board of Directors

Christopher Currin

Institute of Science and Technology Austria, Imbizo
photo of Clement Masilela

Accounting, Fundraising

Clement Masilela

PBT Group
photo of Dan Masethe

AI Fest, Hackathon

Dan Masethe

TUT
photo of Devon Jarvis

Local organiser

Devon Jarvis

University of the Witwatersrand
photo of Ditiro Rampate

Fundraising, National logistics

Ditiro Rampate

IndabaX Botswana
photo of Dumisani Zambukere

Programme, Local organiser, Hackathon, AI Fest

Dumisani Zambukere

University of the Witwatersrand
photo of Elizabeth Booi

Programme, AI Fest

Elizabeth Booi

University of the Western Cape
photo of Emily-Rose Steyn

Local organiser, AI Fest, National logistics

Emily-Rose Steyn

University of the Witwatersrand
photo of Emmanuel Owusu Ahenkan

Hackathon

Emmanuel Owusu Ahenkan

African Institute for Mathematical Sciences
photo of Faheem Sima

Marketing, Hackathon

Faheem Sima

CSIR
photo of Francis E. Agamah

AI Fest

Francis E. Agamah

University of Cape Town
photo of Joel Leonard

Local organiser, Marketing

Joel Leonard

University of Pretoria
photo of Ketro Sithole

Hackathon

Ketro Sithole

Expeditus (Pty) Ltd
photo of Kwasi Darkwa

Marketing

Kwasi Darkwa

IndabaX Botswana & Argo Media Group
photo of Laing Lourens

Local organiser, Fundraising, Hackathon, AI Fest

Laing Lourens

CSIR
photo of Leo Hyams

Fundraising

Leo Hyams

University of Cape Town
photo of Lesego Makhafola

Fundraising, Programme

Lesego Makhafola

University of Pretoria
photo of Lydia de Lange

Executive Director, Accounting, Fundraising

Lydia de Lange

SocioTech
photo of Mahloromela Silas Seabi

Local organiser

Mahloromela Silas Seabi

photo of Maria Schuld

Board of Directors

Maria Schuld

UKZN/UJ
photo of Matimba Shingange

Local organiser, National logistics, Programme

Matimba Shingange

University of Pretoria
photo of Mphatso Nkhoma

Marketing

Mphatso Nkhoma

University of Cape Town
photo of Nandi Mwase

National logistics, Accounting

Nandi Mwase

University of Pretoria
photo of Natalie Bianca Alexander

Programme, AI Fest organise

Natalie Bianca Alexander

IBM & The University of Cape Town
photo of Ndivhuwo Makondo

Local organiser, Programme

Ndivhuwo Makondo

IBM & University of the Witwatersrand
photo of Nkosana Daniel Mlandu

Hackathon

Nkosana Daniel Mlandu

National University of Science and Technology, Zimbabwe
photo of Nomonde Khalo

Marketing, AI Fest, National logistics

Nomonde Khalo

University of Cape Town
photo of Nompilo Mkhulisi

Marketing, National logistics

Nompilo Mkhulisi

Durban University of Technology
photo of Philipa Murindagomo

Hackathon, AI Fest

Philipa Murindagomo

National University of Science and Technology, Zimbabwe
photo of Qiulin Li

AI Fest, Hackathon

Qiulin Li

photo of Ruan de Kock

National logistics, Local organiser

Ruan de Kock

InstaDeep Ltd
photo of Samuel Oladejo

Fundraising, Hackathon

Samuel Oladejo

UJ
photo of Seani Rananga

Programme

Seani Rananga

University of Pretoria
photo of St John Grimbly

Accounting, Programme

St John Grimbly

University of Cape Town
photo of Stephanie Müller

Local organiser, Programme

Stephanie Müller

IBM & University of the Witwatersrand
photo of Tessa Richardson

Fundraising, Programme, Marketing, AI Fest

Tessa Richardson

University of Cape Town
photo of Thapelo Maupa

National logistics

Thapelo Maupa

Independent Researcher
photo of Thapelo Sindane

National logistics, Local organiser

Thapelo Sindane

University of Pretoria
photo of Thembelihle Dlamini

Local organiser, Hackathon organizer, National logistics

Thembelihle Dlamini

IBM
photo of Tshepo Moagi

Marketing, Hackathon

Tshepo Moagi

Anglo Platinum
photo of Yeshalen Naicker

Marketing, Hackathon, Local organiser

Yeshalen Naicker

CSIR
photo of Ziliro Jere

National logistics

Ziliro Jere

University of Witwatersrand