IEEE Tunisia Artificial Intelligence Challenge

The IEEE Tunisia Artificial Intelligence Challenge is an individual Machine Learning competition focusing on a specific technology (that will be announced a few days before the event). The purpose of this event is to help students gain further insight, enabling the exchange of knowledge and skills in the field of AI. This contest will bring together a range of expert practitioners to share their knowledge and opinions with the participants. The challenge is organized along with the 7th edition of the IEEE Tunisian Students and Young professionals (TSYP) congress organized by IEEE ENIT Student Branch, on 15-17 December 2019, in Medina Congress Center, Yassmine Hammamet. 
CIS website: https://cis.ieee.tn/ai_challenge_tsyp_19/  TSYP website: http://tsyp.ieee.tn

Note that to be eligible to participate in the AI Challenge, you need to have one of these prerequisites:

  • Machine learning course in an academic institution
  • Machine Learning Nanodegree from Udacity
  • Have finished at least 4 ML courses in Qwicklabs
  • Have a master or a PhD in a related field of studies
  • Have an ML Degree online (coursera, deepleaning.ai or similar)

You also need to have a zindi.africa account (Sign Up here)

Date and Time

  • Date: 16 Dec 2019
  • Time: 09:00 AM to 05:00 PM
  • All times are Africa/Tunis
.

Location

Registration

Starts 27 November 2019 09:00 PM

  • Ends 13 December 2019 05:00 PM
  • All times are Africa/Tunis

Speakers

Mohamed Amine Turki

Yousri Kessentini

Topic: The Future of Artificial Intelligence 
Artificial Intelligence is growing every day and has reached huge milestones in the previous few years. Even though the past of AI was not very bright, its future seems to be very promising.Tunisia is actually playing an interesting role in the development of AI these days and it will for sure have a great impact on its future.

Biography: He is Computer science engineer graduated from the National School of Computer Science (ENSI). Currently, he is Junior Software Engineer at Cognira working with the R&D team and the Treasurer of IEEE CIS Tunisia Chapter. He is also a Former Artificial Intelligence instructor at GoMyCode.

Email: [email protected]

 

Topic: Generative Adversarial Networks (GANs) 
GANs are becoming a popular ML model for online retail sales because of their ability to understand and recreate visual content with increasingly remarkable accuracy. The two neural networks that make up a GAN are referred to as the generator and the discriminator.

Biography: He is currently  an Assitant Professor at the Digital Research Center of Sfax (CRNS) and the head of the DeepVision research team. He is also a member of the MIRACL Laboratory and  associate member of LITIS laboratory, Rouen, France since 2013. He obtained my Ph.D. degree from University of Rouen in 2009 and my engineer’s degree from the National Engineering School of Sfax (Tunisia). Before joining CRNS, he was postdoctoral researcher in ITESOFT company.  His current research interest center around deep learning, pattern recognition, document processing, computer vision and data fusion.

Email: [email protected]

Program

9:00-10:00am : Talk 1 “The Futur of AI “ by Mohamed Amine Turki. 

10:00-11:00am: Talk 2 “Generative Adversarial Networks (GANs)” by Yousri Kessentini.

3:30-6:30pm : IEEE Tunisia Artificial Intelligence Challenge.

7:30-10:30pm: Awards Ceremony
                 Gala Dinner
                                          Announcement of the winner