As the volume of online content and discussions grows, the amount of misinformation grows with it. The most extreme type of misinformation (content created with malicious intent), which includes fabricated or manipulated data, can be automatically identified in certain domains (e.g., bot detection, image deep fake analysis) and is the target of extensive research.

Cryptocurrency market, after its surge in 2009, gained immense popularity among not only small-scale investors, but also large hedge funds. The ever increasing popularity of cryptocurrencies attracted professional investors who started constructing portfolios using cryptocurrencies, however, the vast majority of the market share still belongs to individuals.

A TNA experience on ordinal quantification

Trans-national access (TNA) @ ISTI-CNR, Pisa, Italy

Look at these people. They look gorgeous, don’t they? Well, too bad they do not exist. These images are completely synthetic. How is it possible, by the way? Well, thanks to a Deep Learning architecture called Generative Adversarial Networks (GANs) [1]. Long story short, these architectures are able to capture the probability distribution of a training set (of images, in this case) and to replicate for creating a new sample with the same probability distribution (therefore realistic) but not belonging to the training set. In a nutshell this architecture is made up of two building blocks.

In a team sports’ season, players likely experience congested fixture schedules, characterized by multiple games within a brief time period. To face such a dense modern competitive schedule, players often undergo an increasing number of training sessions. The combination of multiple games and numerous training sessions within a short time period could induce marked psychophysiological stress on the athletes, making the recovery between the events a crucial effective element of the whole training process.

Previous research (recently published in EPJ Data Science) demonstrates that the official Global Peace Index (GPI) [1] can be captured at a higher frequency through GDELT [2], a digital news database. Undoubtedly, digital data harnessed with AI tools contribute to advances in well-being studies, including peace.

Previous research (recently published in EPJ Data Science) demonstrates that the official Global Peace Index (GPI) [1] can be captured at a higher frequency through GDELT [2], a digital news database. Undoubtedly, digital data harnessed with AI tools contribute to advances in well-being studies, including peace.

Bottom-up Street View aims to create guidelines for the citizen-led collection of street view imagery. The City of Prishtina was selected as a case study given that it remains relatively unexplored by Google Maps’ Street View. In response to the rising pressure of urbanization following Kosovo’s civil war, Prishtina green spaces were largely paved over, leaving an impervious, artificial landscape. The proposed guidelines will cater to pedestrians and cyclists, exposing public spaces such as parks and pedestrian areas that are often omitted from Google Maps’ Street View.

Discrimination consists of unfairly treating people on the basis of their belonging to a specific group. Discrimination often leads denying to members of one group opportunities that are available to other groups. There is a list of antidiscrimination laws designed to prevent discrimination on the basis certain attributes (e.g., race, religion or gender) in various settings (e.g., employment, credit, insurance, etc.).