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AI for Health @ Microsoft

VRAI Lab is happy to share that our Information Engineering Department (DII) at Università Politecnica delle Marche was granted by Microsoft AI for Health COVID-19 programme with our project aiCOVID19!
We try to join our forces with international researchers worldwide to combat the new coronavirus epidemic and to understand its aftermath. 

Info on the Microsoft AI for Health project: https://www.microsoft.com/en-us/ai/ai-for-health

AI Technologies and Applications in Media Environments @ ABU Technology Webinar

Prof. Emanuele Frontoni gave a talk for the Asia Pacific Broadcasting Union on "AI Technologies and Applications in Media Environments", in cooperation with Tecla System & Università Politecnica delle Marche.

ABU (Asia-Pacific Broadcasting Union), established in 1964, is the biggest broadcasting union in the world.

Following the link of the talk:

https://www.youtube.com/watch?v=tiHBZSQDB8Y&feature=youtu.be

Artificial Intelligence for Augmented and Virtual Reality content creation @ SALENTO AVR 2020

Prof. Emanuele Frontoni was invited as keynote speaker at the 7th International Conference on Augmented Reality, Virtual Reality and Computer Graphics (SALENTO AVR 2020). The topic of his speech was "Artificial Intelligence for Augmented and Virtual Reality content creation".

The full intervention can be watched at the following link.

From frames to event cameras: learning vision - based, agile drone flight

Avviso di seminario all’interno del corso di Computer Vision & Deep Learning.

Mercoledì 15/04/2020 alle ore 12.00, il Prof. Davide Scaramuzza terrà un seminario online su Microsoft Teams intitoloato 'From frames to event cameras: learning vision - based, agile drone flight'.

Per registrazioni all'evento seguire il link sottostante:

Introduction to model parallelism and multi GPU training

Avviso di seminario all’interno del corso di Computer Vision & Deep Learning.

Martedì 21/04/2020 alle ore 11.30, Giuseppe Fiameni, PhD, terrà un seminario online su Microsoft Teams intitoloato 'Introduction to model parallelism and multi GPU training'.

Per registrazioni all'evento seguire il link sottostante:

http://vrai.dii.univpm.it/content/21-04-2020-event-introduction-model-parallelism-and-multi-gpu-training

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