The IndabaX-nometer is rising higher! This post is about celebrating the IndabaX events which are taking place in African countries in 2023!
Entering its 5th year, the annual local Deep Learning Indaba events called IndabaX, are growing stronger. This year, in 2023, a record number of 36 countries in Africa will organise IndabaX events! We think that these countries are now covering five time zones out of the six on the continent! We can hardly wait to meet everyone in Ghana at the Deep Learning Indaba.
Here is a list of the planned events by month:
| Month | Host country |
| April | Burkina Faso, Tunisia |
| May | Algeria, Burundi, Cameroon, Djibouti, Guinea, Lesotho, Malawi, Mozambique, Rwanda, The Gambia, Zambia |
| June | Benin Republic, Cameroon, DR Congo, Eswatini, Mali, Namibia, Nigeria, Somalia, Tanzania |
| July | Côte d’Ivoire, Egypt, Ghana, Kenya, Libya, Madagascar, Mauritius, Morocco, Sénégal, Togo, Uganda, Zimbabwe |
| August | South Africa, Sudan |
| November | Ethiopia |
Information about some of the events is already available at https://deeplearningindaba.com/2023/indabax/ with links to individual events and / or representatives in each of the above countries. If you are interested in participating in your country’s IndabaX do get in touch with us and even better directly with the country representatives.
These events are a good way to network and learn more about the Deep Learning Indaba and also about Machine Learning and what is being done in that space in your community.
The format of these events vary from country to country, but generally they are a gathering of those interested in ML, containing talks, practical sessions and a chance to present ideas or mature research. Last year, at the DLI in Tunis, we had a dedicated session showcasing research in ML in Africa. The presentations varied from ML applications to climate and environment to research in languages, civil engineering and medicine.
It really is worth celebrating that there is a forum such as IndabaXs and Deep Learning Indaba, in which researchers from such diverse backgrounds and countries can meet, learn and work together. These have led to countless opportunities to work with other researchers, and this experience is shared across the continent.
Imagine what these events would look like when all 54 countries inAfrica are represented! Would that mean a mission accomplished for the Deep Learning Indaba? Or would that signify the point of new beginnings? Whatever the answer is, this is the right time for you to get involved. Not only is ML something everyone wants to learn about, but your local IndabaX community can provide an important space for someone like you who is interested in ML to grow! Get involved now!
