Page 17 - ITU Journal, ICT Discoveries, Volume 3, No. 1, June 2020 Special issue: The future of video and immersive media

ITU Journal: ICT Discoveries, Vol. 3(1), June 2020

Beyond the frontiers of education: How immersive media changes the way we learn

Pages 43-51

Max M. Louwerse, Marie Nilsenova-Postma, H. Anna T. van Limpt-Broers, Tycho T. de Back, Angelica M.
Tinga, Maarten Horden

Many studies have demonstrated that by embracing technological developments the quality of education
improves, with evidence coming from virtual reality, serious gaming, and intelligent tutoring systems. In
addition, by taking advantage of sensing technologies and learning analytics it becomes possible to monitor
individual and group learning performance online and intervene when a student struggles, thus providing
personalized education. However, immersive media offers an extra advantage, one that can affect many.
Whereas in the past, educational technologies were implemented locally, within a school or school district, it
has become conceivable to put new technological opportunities into effect worldwide. By taking advantage of
cloud computing, 5G networks, and virtual reality headsets (or their proxies), it is now possible to deliver
educational content that is developed anywhere in the world, everywhere in the world. The current paper
describes what it takes to provide high quality education worldwide, given the existing hardware and software
options, and illustrates these opportunities with the SpaceBuzz initiative and the accompanying educational
program.
View Article

Trends and advancements in deep neural network communication

Pages 53-63
Felix Sattler, Thomas Wiegand, Wojciech Samek

Due to their great performance and scalability properties neural networks have become ubiquitous building
blocks of many applications. With the rise of mobile and IoT, these models now are also being increasingly
applied in distributed settings, where the owners of the data are separated by limited communication channels
and privacy constraints. To address the challenges of these distributed environments, a wide range of training
and evaluation schemes have been developed, which require the communication of neural network
parametrizations. These novel approaches, which bring the “intelligence to the data” have many advantages
over traditional cloud solutions such as privacy preservation, increased security and device autonomy,
communication efficiency and a greater training speed. This paper gives an overview on the recent
advancements and challenges in this new field of research at the intersection of machine learning and
communications.
View Article

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