The University of Salamanca (USAL) has a ‘digital twin’ of its historical building, a three-dimensional technological replica developed over the last two years and which allows access “in detail” to all the parts of the emblematic building, even knowing the peculiarities of the interior of its walls and even unprecedented and unattainable spaces until now …
An international technological solution to prevent and act in large wildfires
The current wildfires are different from those of ten decades ago. Nowadays, they are much more aggressive and tend to affect urbanized areas, thereby putting people’s lives at risk. In this context, the University of Salamanca participates in the international project ‘DRYADS: A Holistic Fire Management Ecosystem for Prevention, Detection and Restoration of Environmental Disasters’ …
Iberdrola visits the TIDOP research group
Last Thursday, July 8, the TIDOP research group received a visit from Alberto Mazuela and Lucía from the Climate Change Area together with Beatriz Crisostomo from the Iberdrola Innovation area. During this visit, it was not only shown the facilities in which the research group carries out its research work, but also the main lines …
Towards a sustainable university campus
Two of thirty projects have been selected within the grants “Sustainable Campus Objetives” from the University of Salamanca. These proyects will be developed by four students of the doctorate program in Geotechnologies Applied to Construction, Energy and Industry at the Higher Polytechnic School of Ávila. The University of Salamanca, through the Social Affairs Service, has …












The objectives of this line of research are to use artificially intelligent algorithms to model and study the impact of wolves in the province of Ávila. Using spatial data, statistical Geographical Information System (GIS) approaches and Machine/Deep Learning, we hope to provide a new perspective to the study of wolf activities and attacks on local livestock.
The advantages of artificially intelligent algorithms are multiple. These algorithms provide a new means of predicting when and where the next attack is most likely to occur. Likewise, additional research may be able to highlight which animals are more likely to be attacked. This data could be of great benefit to local agricultural communities, thus helping protect their assets and help alleviate tension that could better protect the wolf from danger of extinction.
.jpg)

