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An artificial intelligence system developed at EPFL, the public research university in Lausanne, Switzerland, is claimed to be able to produce detailed 3D

A programme can train neural networks, using just a handful of images, to rapidly characterise in satellite and drone data new objects like ocean debris, deforestation zones, urban areas and more. In a new study an international team of researchers h

The EPFL School of Architecture, Civil and Environmental Engineering (ENAC) invites applications for a tenure track Assistant Professor of Urban and Territorial Information Systems.

EPFL and ETH Zurich researchers have developed a precision AI tool to estimate population density in countries where the ICRC works.

Using innovative technologies and scientific expertise to help people in need is the goal of the Engineering for Humanitarian Action initiative launched by the ICRC, ETH Zurich and EPFL in 2020. Six of the projects are already offering results for tangible improvements for the ICRC.

A team of experts in artificial intelligence and animal ecology have put forth a new, cross-disciplinary approach intended to enhance research on wildlife species and make more effective use of the vast amounts of data now being collected thanks to new technology. Their study appears today in Nature Communications.

A group of artificial intelligence (AI) and animal ecology experts at Ecole Polytechnique Fédérale de Lausanne have developed a new big data approach to enhance research on wildlife species and improve wildlife preservation.  The new study was published in Nature Communications.  Collecting Data

Animal ecology has moved into the era of big data and the Internet of Things.

Scientists at EPFL, the Royal Netherlands Institute for Sea Research and Wageningen University & Research have developed a new deep-learning model for counting the number of seals in aerial photos that is considerably faster than doing it by hand. With this new method, valuable time and resources could be saved which can be used to further study and protect endangered species.

Example of aerial image used by the model that accelerates the seal survey. © NIOZ Scientists at EPFL, the Royal Netherlands Institute for Sea