How can deep learning help media makers create content tailored to the reader's preferences? In NewsTAPAS, a project on the personalisation of news, we discovered the need for strengthening automatic capabilities to better summarize articles. Therefore we started working with Natural Language Processing (NLP) and compared recurrent neural networks (RNN), long short-term memory (LTSM), Transformers and their applications within media. In this article we compile some insights and recommendations.

Are you a deep-tech innovator with solutions for the media and creative sector? Then sign up for this final call of the MediaMotorEurope coaching programme! MediaMotorEurope (MME) supports European startups and scaleups to solve today's most prominent media industry challenges. In collaboration with VRT Sandbox, the network of Future Media Hubs and other European partners, MediaMotorEurope offers you tailored coaching and an ecosystem of notable players in the media and creative industries.

Are you a start-up or scale-up, working on next gen media solutions? Do you want to integrate your technology on the production floor, but still looking for the right connections and resources? Through STADIEM's piloting programme, you will be able to introduce your innovation to an international network and integrate it into a live production environment. You can register now for the first call until the 31st of March.

Imagine if an article would adapt itself based on your preferences. Don't have a lot of time for some in-depth reading? Prefer to directly see the headlines? In today's information overload, we are exploring the technological possibilities to better personalise news, not only in terms of content, but also as a format. In the NewsTAPAS project, we are therefore exploring how we can better inform end users by adapting the presentation of a news article to their preferences and context.

Wondering how citizens can bring the stories of a city to life? With an abundance of data and information sources available in a city, there are many possibilities to tell stories. In the ESSENCE project, we developed new technologies to physically integrate stories to engage citizens in their urban challenges and those of society by extent. After two years, the project has ended and we look back on the results and insights.

The STADIEM project is working on a piloting and acceleration programme to bring together start-ups, scale-ups, investors and media organisations, and foster the development of Next Generation Media solutions. Within the European H2020 project, participating start-ups have access to, among other things, regional and local knowledge (including market and consumer specifics), available financing and scaling opportunities, as well as venture capital and corporate networks.

Over the past year, EDUbox has gained its place in the educational landscape as a medium that introduces young people to a particular societal theme. Each EDUbox is created in cooperation with partners who deploy their expertise around a particular theme. The creation and growth of the concept itself is also a story of collaboration, both with external partners and with various VRT colleagues.

The MediaMotorEurope (MME) mentoring programme, supported by Startup Europe, is looking for high-potential European deeptech innovators who can target today’s most relevant media industry challenges. European startups and scaleups are invited to apply for MME second open call on F6S until 30 October 2020 at 17h00 CET!

This summer, VRT Innovation experimented with a physical test setup in order to tell stories that closely relate to the lives of every citizen in an innovative and efficient way. At the studio of Radio 2 in Antwerp, you can find screens with new and local stories, based on images sent by local residents.

Looking for the next deeptech solutions in the media sector to strengthen your business? The MediaMotorEurope (MME) programme connects media organisations with innovative startups/scaleups to collaborate on media solutions. As a media organisation, you will be able to define your challenges with the support of the MME team and spot real and relevant collaboration opportunities with promising startups.