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Ecology-inspired mathematical models to understand social networks


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The ease with which anyone can create online content for free, especially on social media, has led to superabundance of information being one of the defining characteristics of today s communication systems. This situation has resulted in increasingly intense competition for attention, which has become a scarce good. The researchers from the Complex Systems group (CoSIN3) at the UOC s Internet Interdisciplinary Institute (IN3) María José Palazzi and Albert Solé professor at the Faculty of Computer Science, Multimedia and Telecommunications? , led by Javier Borge, have participated in the design of an ecology-inspired mathematical model that makes it possible to break down and predict interaction patterns in a system as complex as the Twitter social network. ....

Hong Kong , Albert Sol , Javier Borge , Nature Communications , Internet Interdisciplinary Institute , University Of Padua , Sustainable Development Goals Sdgs , Spanish Institute For Cross , University Of The Balearic , Spanish National Research Council , Complex Systems , Interdisciplinary Institute , Computer Science , Football Championship , Spanish Institute , Cross Disciplinary Physics , Balearic Islands , Ecological Approach , Information Systems , Fondazione Cassa , Sustainable Development Goals , Technology Engineering Computer Science , Computer Science , Multimedia Networking Interface Design , ஹாங் காங் , ஆல்பர்ட் சொல் ,

How artificial intelligence can help curb traffic accidents in cities


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Despite pandemic-driven restrictions on movement, there were over 12,000 accidents in Madrid in 2020, leading to 31 fatalities. In Barcelona, there were more than 5,700 collisions, causing 14 deaths. Pedestrian and vehicle safety is a priority, which is why a research project at the Universitat Oberta de Catalunya (UOC) is harnessing artificial intelligence (AI) to make decisions that will make cities safer. The researchers have looked into the correlation between the complexity of certain urban areas and the likelihood of an accident occurring there.
According to the researchers, the data they have gathered can be used to train neural networks to detect probable hazards in an area and work out patterns associated with this high risk potential. The researchers, headed by Cristina Bustos and Javier Borge, are working with algorithms that will aid traffic authorities in reducing the likelihood of accidents in urban environments. ....

Comunidad Autonoma De Cataluna , Universitat Rovirai Virgili , Javier Borge , Cristina Bustos , Sustainable Development Goal , Department Of Computer Engineering , Agenda For Sustainable Development , Internet Interdisciplinary Institute , Massachusetts Institute Of Technology , Transportation Research Part , Spain National Traffic Authority , Health Center , Artificial Intelligence Lab , Universitat Oberta De Catalunya , Scene Understanding , Computer Science , National Traffic Authority , Massachusetts Institute , Computer Engineering , Universitat Rovira , Emerging Technologies , United Nation , Sustainable Development , Technology Engineering Computer Science , Multimedia Networking Interface Design , காமுனிடட தன்னாட்சி டி கடலுள் ,