Leave your mark on this great initiative!

There are many ways to get involved. Here are six suggestions.

1

Participate with a talk or a poster.

Fill in the form here

2

You can contribute with a dataset or an interesting problem.

Are you collecting lots of data and you need to make sense of it? Do you have a problem that is hard to crack? Why not pose it to our audience? We would be happy to have a (modified) subset of your data to use for example during our practical sessions or during the competition.

3

You can contribute to our competition prizes.

Should we move closer to a solution to your problem during our competition, you benefit and we also benefit! You will also get a visible spot on our promotional material and / or stall at our event.

4

You can contribute to the cost of our Internet.

These events cannot be possible without being connected! We will run our practical session on the platforms such as Colaboratory at Google.

Colaboratory is a research tool for machine learning education and research. It’s a Jupyter notebook environment that requires no setup to use. Code is executed in a virtual machine dedicated to your account. Virtual machines are recycled when idle for a while, and have a maximum lifetime enforced by the system.

This is great for us, as machine learning libraries like tensorflow, keras and datasets used for Machine learning are not trivial to install.

5

You can help us host a networking reception.

Our budget allows us to provide snacks and simple lunches for our participants. You have the imperative “network, network, network!” more times than one can possibly count. A networking reception in a nice relaxing setting in which members of the industry and academia can share ideas, form connection is of great value!

6

You can participate yourself or employees of your company.

Here is a suggestions. For MKW 200,000 you will get two places at our event, a visible spot on our promotional material and / or stall at our event.

We are flexible. We would like to form new connections and relationships. This is more important to us than your money.

Contact us for more information: indabax@poly.ac.mw

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