The life of Sandro (Aniello Arena), the leader of the Apache ultras group, arrives at a crossroads after he is denied access to his second home: the stadium. The last weeks of the Italian championship are marked by his relationship with Angelo (Ciro Nacca), a young boy looking for a mentor, the wonderful and tough Terry (Antonia Truppo), and by the search for his place in the world. Ultras, the first film by Francesco Lettieri, will be available on Netflix from March 20.

Ultras music are from Liberato.

Watch Ultras, on Netflix: https://www.netflix.com/title/81178339

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About Netflix:
Netflix is the world’s leading streaming entertainment service with over 167 million paid memberships in over 190 countries enjoying TV series, documentaries and feature films across a wide variety of genres and languages. Members can watch as much as they want, anytime, anywhere, on any internet-connected screen. Members can play, pause and resume watching, all without commercials or commitments.

Ultras | Official Trailer | Netflix
https://youtube.com/netflix

A story of intergenerational friendship and coming of age, set in the world of ultras culture during the last five weeks of a soccer championship.

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This collection of six shorts from some of Saudi Arabia’s most innovative filmmakers shines a light on topics that are universal in nature; social taboos, extremism, and the human psyche. Not only will “Six Windows in the Desert” offer global audiences a lens into the perspectives of its Saudi creators, but also bring to life characters with their own stories to tell.

About Netflix

Netflix is the world’s leading streaming entertainment service with over 158 million paid memberships in over 190 countries enjoying TV series, documentaries and feature films across a wide variety of genres and languages. Members can watch as much as they want, anytime, anywhere, on any internet-connected screen. Members can play, pause and resume watching, all without commercials or commitments.

Geometric Deep Learning is an emerging paradigm to process graph-structured data with end-to-end trainable models, Graph Neural Networks (GNNs), with the ability to leverage prior knowledge about the data domain while offering large expressive power. Such attractive tradeoff has resulted in state-of-the-art performance over diverse domains, ranging from social networks, biology, knowledge bases, or finance. In this talk, I will present recent advances in our group covering both theory and applications. On the theory side, we quantify both the approximation power of GNN architectures and their stability to graph perturbations, resulting in a principled architecture design. We will illustrate these theoretical advances with applications in semi-supervised learning and forecasting in dynamic graphs modeling Social Network data, and discuss broader applications to recommender systems and fraud detection.

#SAIF
#SamsungAIForum
#SR
#SamsungResearch

Artificial Intelligence (AI) provides many opportunities to improve private and public life, and it has enjoyed significant investment. Indeed, discovering patterns and structures in large troves of data in an automated manner is a core component of data science. Machine learning currently drives applications in computational biology, natural language processing and robotics. However, such a highly positive impact is coupled with a significant challenge: when can we convincingly deploy these methods in our workplace? For example, can we provide prior knowledge and suggestions to the learning modules? Can we learn interpretable symbolic structures from data? In this talk, we look at the fundamental problem of unifying reasoning and learning, and how this enables a systematic way to integrate human knowledge and data-driven learning methods. We will then briefly consider how that unification may help us take steps towards a commonsensical, transparent and responsible AI.

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