News

A drawing of Patrick George Zaki
Wed, 02/12/2020 - 12:41
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12/02/2020

Statement by the GEMMA Consortium on Patrick George Zaki’s situation

The Erasmus Mundus Master's Degree in Women's and Gender Studies (GEMMA) is coordinated by the University of Granada, funded by the EU's Erasmus Mundus programme, and involves the participation of the University of Bologna, the Central European University, the University of Łódź, the University of Oviedo, Utrecht University, and the University of York. As members of this consortium we express deep concern for the safety of one of our students, Patrick George Zaki, who was arrested on 7 February 2020 upon his arrival to Egypt, where he was visiting family.

The Antarctic
Mon, 02/10/2020 - 10:48
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10/02/2020

Clays in Antarctica from millions of years ago reveal past climate change

Members of the TASMANDRAKE research group of the Andalusian Earth Sciences Institute (IACT), which pertains to the University of Granada and CSIC, have published a research paper in the prestigious international journal Scientific Reports (part of the Nature group) describing their analysis of clays from Antarctica dating back 35.5 million years, to reconstruct past climate changes.

An image of a whale being tracked by a satellite
Wed, 01/29/2020 - 08:53
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29/01/2020

Scientists develop a method for whale conservation using artificial intelligence

Researchers from the Universities of Granada and Almeria have created a system based on Artificial Intelligence for detecting and counting whales at sea. The application is more accurate and economical than other models used to date, and it is free of charge to all those involved in the protection of cetaceans and other at-risk species such as seals, sea lions, and penguins.

A hand holding a phone
Tue, 01/21/2020 - 08:47
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21/01/2020

New technique prevents identity theft in smartphones and tablets

Researchers at the University of Granada (UGR), from the Department of Signal Theory, Telematics and Communications, have designed a new technique based on neural networks that prevents identity theft in the automatic voice recognition systems of electronic devices, such as smartphones or tablets.