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Episode 27 - Prof. Djamila Aouada (SnT) - Computer Vision

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Manage episode 337291551 series 2832348
Content provided by Hanna Siemaszko. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Hanna Siemaszko or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

In this episode we had a chance to finally catch up with Assisstant Professor Djamila Aouada who heads the Computer Vision team at SnT (University of Luxembourg). We talked about her specialisation, about deep learning and deep fakes, different applications of computer vision and Djamila also prepared a very surprising pub quiz question for our listeners.
USEFUL LINKS
FNR article about Djamila's work
Mäin Element podcast with Djamila
Djamila in the Women in Science FNR series
Computer vision explained
Spoiler alert - more about the answer to the pub quiz question

  continue reading

75 episodes

Artwork
iconShare
 
Manage episode 337291551 series 2832348
Content provided by Hanna Siemaszko. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Hanna Siemaszko or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

In this episode we had a chance to finally catch up with Assisstant Professor Djamila Aouada who heads the Computer Vision team at SnT (University of Luxembourg). We talked about her specialisation, about deep learning and deep fakes, different applications of computer vision and Djamila also prepared a very surprising pub quiz question for our listeners.
USEFUL LINKS
FNR article about Djamila's work
Mäin Element podcast with Djamila
Djamila in the Women in Science FNR series
Computer vision explained
Spoiler alert - more about the answer to the pub quiz question

  continue reading

75 episodes

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