14 - 17 April
2019

Durban
South Africa

200+
Attendees

30+
Speakers

Speakers

Africa in AI — Panel Discussion

This opening discussion will address Africa’s impact on all things artificial intelligence. While many like panels tend to go with “AI in Africa” or “How can we grow machine learning in Africa”, we thought we would make Africa the defining term, to indicate that Africa has the control over AI. This also serves our narrative for the discussion: focusing on AI and its complexities from our African perspectives rather than Africa from an AI perspective.

We welcome a diverse and experienced group of people to introduce what AI means to them and how it is influencing our world. This includes some of our amazing speakers who will be joined by Prof. Francesco Petruccione, the Pro-Vice Chancellor of Big Data and Informatics at UKZN, and Sicelukwanda Zwane, who is an MSc candidate with the CSIR at Wits focusing on the intersection of robotics and machine learning. Christopher Currin (PhD Computational Neuroscience at UCT) will be facilitating the panel to guide the conversation from introduction to impact.

Prize Winners

Poster Prizes

Hackathon Prizes

Schedule

15h00- 18h00

ATTENDEE REGISTRATION

UNITE Building, University of KwaZulu-Natal

18h00 - 22h00

OPENING EVENT

PYC Yacht Club, 3 Maritime Pl, Harbour, Durban.

08h30 - 08h45

OPENING REMARKS

08h45 - 10h30

OPENING DISCUSSION: AFRICA IN AI

10h30 - 11h00

TEA BREAK

11h00 - 13h00

On Rationality of Artificial Intelligent Machines

13h00 - 14h00

LUNCH

14h00 - 15h30

Animated Intro to Machine Learning

Machine Learning For Robot Control

Will Capsule Networks Replace CNNs?

Random Neural Networks

Community Development as an Avenue to Career Growth

Sebenz.ai - Creating jobs in South Africa using Smartphone Data Labeling

Machine Learning in Real Life

15h30 - 16h00

TEA BREAK

16h00 - 17h30

Introduction to Deep Learning

Ticker: An Adaptive Single-Switch Text Entry Method for Visually Impaired Users

Deep Learning Vs The Brain

Machine Learning in Practice: A Primer on Missing Data

The IBM Developer Model Asset Exchange - Deep Learning For Everyone

The Temporal Turing Test: Sampling Real-Valued Multivariate Time Series from Deep Generative Models

Humans in the loop - New ways of working a deep learning world

17h30 - 20h00

POSTER VIEWING

08h30 - 10h30

High-dimensional dynamics of generalization error in neural networks: insights from the linear case

10h30 - 11h00

TEA BREAK

11h00 - 13h00

Unsupervised Machine Learning 101

Introduction to Natural Language Processing

Using Conditional Inference Forests to Model Time to Event Data

Visual-Semantic Embeddings: An Introduction and Applications

Exploiting Structure for Accelerating Reinforcement Learning

Digital transformation journey in operationalizing AI solutions to help businesses thrive in the Smart Technology Era

AI + humans in business: Progeny or Friendship

Protecting Machines from us - Ethics and Bias

Civic Technology and AI - Meaningful Opportunities and Daunting Biases

13h00 - 14h00

LUNCH

14h00 - 15h30

A Guided Tour through the Landscape of Reinforcement Learning

Black-box Optimization and its Role in Machine Learning

Machine Learning with Quantum Computers

John Poole: Resources for Deep Learning at the CHPC

Growing young talent: Selecting and training the next generation of data scientists

A Tour of Machine Learning in the African Business Context: 5 Years of Awesome Ideas, Dramatic Flops and Big Wins

15h30 - 16h00

TEA BREAK

16h00 - 17h30

An AI Play in 3 Parts: Jacuzzis, Research and AGI

17h30 - Onward

Hosted in the Lecture Theatre and LAN until 01h00

08h30 - 15h00

Hosted in the LAN and Rooms 1,2 and 3

Hosted in the Lecture Theatre and Rooms 1,2 and 3

15h00 - 15h30

PRIZE GIVING AND CLOSING REMARKS

Poster winner and hackathon prizes announced

Sponsors

Location

UNITE Building
University of Kwazulu-Natal

40 minute drive from King Shaka Int.
10 minute drive from central Durban

FAQ

Applications
Unfortunately, applications have closed and we do not have any extra capacity. We encourage you to apply for one of the many other Indaba𝕏 events around the continent or to the main Indaba event, and, to keep an eye open for next year's Indaba𝕏 ZA.
Decision notices were sent out on the 15th of March. Please check your spam folder if you did not receive an email from us. If you still can't find it then please email us at info@indabax.co.za and we'll let you know.
Thank you for your interest in attending Indaba𝕏 South Africa. While we can't go into the specifics of why any particular applications were not accepted, we can say that we had almost 470 applications for only around 200 places. This meant that we had to make a large number of tough decisions and had to reject a number of excellent applicants. If your application was rejected it is most likely that there was nothing particularly wrong with the application but rather that it was missing something to make it stand out.

Here are some tips to strengthen your next application:
  • Show that you are committed to learning more about machine learning. For example, if you've taken an online course (such as Andrew Ng's Coursera course) you should mention it (and if you haven't we would highly recommend doing so).
  • Talk about how you are already using, or how you plan to use, machine learning for your work or research.
  • Talk about how you are contributing to your local machine learning community. For example, do you organize meetup events, run lectures, or lead a study group?
  • Make sure you put plenty of effort into the application since this is one way for us to judge your interest in attending.
Please don't be discouraged by this result. We encourage you to apply for one of the many other Indaba𝕏 events around the continent or to the main Indaba event, and, to keep an eye open for next year's Indaba𝕏 ZA.
Hackathon
Yes! You are welcome to bounce between the two as you please.
We are still working hard to finalize the details of the hackathon, however, we can give you some details at this point.
There will be four challenges for you to tackle, each with different difficulties and kinds of data, so everyone should be able to participate.
Each of these challenges is provided by our hackathon sponsors and is based on a real problem they are trying to solve!
Our hackathon sponsors have some great prizes lined up for the winners of each challenge, so bring your A-game!
Unfortunately, the hackathon will be limited to Indaba𝕏 attendees but we're working on making some of the challenges available to everyone after the event.
This will depend on the challenge. However, if there are teams we'll let you form them — they won't be pre-determined. We'll let you know more at the event.
We recommend that you bring your own laptop if possible, however, for those of you who can't we'll provide lab computers.
Don't worry about installing any software beforehand (or about bringing a powerful computer) — we'll be using Google Colab which is accessed through the browser, comes with all the necessary software, and gives access to an Nvidia GPU.
No. The official hacakthon times are listed on the schedule but you should feel free to go to bed early on Tuesday or get a late start on Wednesday if that is what you'd prefer.
Poster Session
Unfortunately, due to space limitations, not everyone can present their poster at the event. If you are one of the those who are presenting you will have been informed in your acceptance notification email. We recommend that you print your poster before arriving in Durban.
The poster boards allow for a poster size of A1 portrait [594mm (width) x 841mm (height)].
General
Please email us at info@indabax.co.za with the appropriate details and we'll be happy to supply you with an invoice.
Unfortunately, while we'd love to be able to help everyone attend, we've already reached our allocated budget for funding (more sponsors welcome) and no further travel grants will be awarded.
Yes! Here you go:
Airbnb also works well!

Who Are We?

We are individuals from a few different institutions that have a passion for machine learning and sharing knowledge:

What is Our Goal?

We want to facilitate the learning of others and give them opportunities.

  • Learn from African researchers and pioneers
  • Opportunity for one-on-one time with experts
  • Learn basic and advanced topics in ML

Want to Contact Us?

Please send us an email at info@indabax.co.za


The Team That Put This All Together!