[visionlist] Live e-Lecture by Prof. Henning Müller: "Challenges for machine learning using medical data", 4 October 2022 17:00-18:00 CEST

[Ioanna Koroni]

Dear AI scientist/engineer/student/enthusiast,

 

Prof. Henning Müller, a prominent AI researcher internationally, will deliver the e-lecture: 

‘Challenges for machine learning using medical data’, on Tuesday 4th October 2022 17:00-18:00 CEST (8:00-9:00 am PST), (12:00 am-1:00am CST),

see details in:  <http://www.i-aida.org/ai-lectures/> http://www.i-aida.org/ai-lectures/

 

You can join for free using the zoom link:  <https://authgr.zoom.us/j/99123364723> https://authgr.zoom.us/j/99123364723 & Passcode: 148148

Attendance is free.

 

The  <http://www.i-aida.org/> International AI Doctoral Academy (AIDA), a joint initiative of the European R&D projects  <https://ai4media.eu/> AI4Media,  <https://www.elise-ai.eu/> ELISE,  <https://www.humane-ai.eu/> Humane AI Net,  <https://tailor-network.eu/> TAILOR,  <https://www.vision4ai.eu/> VISION, currently in the process of formation,

is very pleased to offer you top quality scientific lectures on several current hot AI topics.

 

Lectures will be offered alternatingly by:

Top highly-cited senior AI scientists internationally or

Young AI scientists with promise of excellence (AI sprint lectures)

 

These lectures are disseminated through multiple channels and email lists (we apologize if you received it through various channels). 

If you want to stay informed on future lectures, you can register in the email lists  <https://lists.auth.gr/sympa/info/aida> AIDA email list and  <https://lists.auth.gr/sympa/info/cvml> CVML email list.

 

Best regards

Profs. M. Chetouani, P. Flach, B. O’Sullivan, I. Pitas, N. Sebe, J. Stefanowski

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