Artificial Intelligence to locate and count whales Noticia
Researchers from the Institute in collaboration with researchers from Almeria have developed a tool that allows us to locate and count whales. Canal UGR (In Spanish)
Researchers from the Institute in collaboration with researchers from Almeria have developed a tool that allows us to locate and count whales. Canal UGR (In Spanish)
The ENHAnCE project, in which 9 European institutions are participating, has been financed with 2.67 million euros. The coordination of a European project of the H2020 programme is a success for the University of Granada (UGR) and for the DaSCI Institute to which some of its principal researchers are affiliated. The consortium will be led […]
The rector of the University of Granada (UGR), Pilar Aranda and TECNALIA’s Deputy Director General of Technology, Jesús Valero, have signed a collaboration agreement for the creation of the “TECNALIA Chair in Artificial Intelligence” which will be endowed with 50,000 € per year. For more information: Actualidad Canal UGR , IDEAL (In Spanish)
A study focusing on the Rioja Qualified Designation of Origin (DOCa) carried out by UNIR Marketing professor Carmen Zarco and the expert from the University of Granada, Óscar Cordón, shows that only around 32% of the wineries affiliated to this Designation have a Twitter profile, although not all of them develop active and direct communication. […]
According to a press release from the Delegation of the Regional Government of Andalusia in Jaen, this institute will research in two major fundamental areas, Data Science and Computational Intelligence, two areas of great projection in the field of international research and with scientific recognition at the universities of Jaen and Granada. For more information: […]
Francisco Herrera Triguero, Professor of Computer Science and Artificial Intelligence at the University of Granada (UGR), joined the Royal Academy of Engineering of Spain yesterday as a full member of the academy, in an event that took place at the headquarters of the institution in Madrid and was attended by the rector of the UGR, […]
The BBVA Foundation grants with 100,000 euros a research project at the University of Granada (UGR) called ‘Deep Learning’ applied to Security, Ecology and Natural Language’, coordinated by Francisco Herrera Triguero, professor of the Department of Computer Science and Artificial Intelligence. The aim of this project is to generate high quality data for Deep Learning […]
On Monday 4 March, the Spanish Strategy for R+D+I in Artificial Intelligence was presented in Granada. The event, took place in the Palacio de Exposiciones y Congresos, was presided over by the Minister of Science, Innovation and Universities, Pedro Duque, and closed by the President of the Government, Pedro Sánchez. More information (in spanish).
Andalusian Research Institute on Data Science and Computational Ingelligence, has been included in the catalogue of the “Digital Innovation Hub” (DIH) whose main objective is to increase the competitiveness of industry through digital technologies and is the highest European recognition of innovative ecosystems. http://s3platform.jrc.ec.europa.eu/digital-innovation-hubs-tool/-/dih/12691/view
Links a Spanish Paper. Vídeo en Ideal: https://www.ideal.es/miugr/prestigio-ranking-proyeccion-5841464313001-20180928100925-vi.html
First prize of the CAEPIA 2018 Competition of Apps based on Artificial Intelligence by the App MonuMAI Francisco Herrera, Álvaro Martínez-Sevilla, Siham Tabik, Rosana Montes, Alberto Castillo Lamas, Teresa Cruz Sánchez, José Policarpo Cruz. MonuMAI: an app to increase the social value of Andalusian architectural heritage https://sci2s.ugr.es/caepia18/premiados.html#apps (Link a Spanish Media)
University of Granada (UGR) researchers have designed a computer algorithm that automatically recognises guns on video in real-time, as Jim Drury reports. Go to video
“Artificial Intelligence in Defense Technology” http://www.ejercito.mde.es/multimedia/Videos-2018/RRFF/05-factor-ind-tec.html (Link a Spanish Video)
https://arxiv.org/abs/1702.05147 Current surveillance and control systems still require human supervision and intervention. This work presents a novel automatic handgun detection system in videos appropriate for both, surveillance and control purposes. We reformulate this detection problem into the problem of minimizing false positives and solve it by building the key training data-set guided by the results […]