Environmental changes on our planet have reached historic proportions in both intensity and speed. The massive decline in biodiversity and climate change unbalance the ecosystem.
In the course of evolution, nature has developed countless solutions to almost every conceivable challenge. One remarkable approach is the swarm intelligence of many animal species, both within species and across species. Synergies are evolved that make a swarm more intelligent than the sum of its members. However, digitalization also creates technologies and developments to intelligently meet concrete challenges.
The aim of the “SyNaKI” project is to map a natural swarm intelligence virtually in a network of microprocessors (digital swarm) in order to enable data analysis by artificial intelligence (AI). This AI is to be developed using the example of a concrete application scenario of tagged vultures in a cross-species association with tagged scavenging terrestrial mammals. The collected and analyzed data will then be sent to the experts for wildlife observation via satellite. With the help of the data generated by the tagged animals, these scientists can gain deep insights into the ecosystem of the living creatures. In this way, the behavior of the animals can be researched in the long term, any changes in the animals' behavior can be detected at an early stage and negative developments can be counteracted.
“SyNaKI” is a sub-project of the GAIA initiative, for which the Fraunhofer Institute for Integrated Circuits IIS and the Leibniz Institute for Zoo and Wildlife Research (IZW) have joined forces to form an interdisciplinary consortium.