By 
From September 2 to 4, interested persons in Africa have the opportunity to acquire knowledge in machine learning for free.
L’Ecole Polytechnique Fédérale de Lausanne (EPFL) has announced that its fifth edition of the Applied Machine Learning Days will focus on Africa and the positive impact of Artificial Intelligence and Machine Learning on key sectors.
The AMLD Africa is an international event on machine learning applied to African development. This will be the first time that the “Applied Machine Learning Days”, the largest European conference on the subject and on Artificial Intelligence, will be dedicated to Africa.
The AMLD Africa online conference is holding free of charge from the Ecole Polytechnique Fédérale de Lausanne.
AMLD Africa focuses on the application of machine learning and artificial intelligence in innovation and sustainable development in African countries, making it a particularly popular event for academia, industry, and business.
RELATED
New Kaspersky Machine Learning For Anomaly Detection Predicts Breakdown Of Production Processes
So, What’s Left After The Machines Take Over?
The conference offers a rare opportunity to discuss “the application of machine learning and artificial intelligence in innovation and sustainable development of African countries”. Open to all, it targets the academic world as well as the private and public sectors.
The conference will take place over 3 days, with keynotes, talks, and workshops too.
The event will be totally virtual and in English. More than 30 talks will be broadcast live and more than 10 workshops will be given virtually.
For this first edition the featured tracks will cover:
- AI & Environment
- AI & Natural Language Processing
- AI & Community
- AI for Social Good
- AI & Healthcare
- AI & Agriculture
Tickets are available for free on our website! Number of tickets are limited !!!
The Applied Machine Learning Days Africa is a non-profit event and depends on its partners and their support. We are delighted to welcome: Excellence in Africa of EPFL – EXAF – EPFL and Google as our partners. We thank them for their support and confidence.
Contact: [email protected]
