Scientists from the UK and the Netherlands have created a neural network for counting elephants in satellite images. This is reported on the bioRxiv website.
It is noted that artificial intelligence can recognize objects not only on an empty surface, but also on an area where there are trees and other objects. Using a neural network, scientists have counted elephants in the Addo Elephant National Park in South Africa.
Experts compared the data calculated by the computer with the data collected by 51 volunteers, using two criteria: completeness (how many elephants the algorithm found) and accuracy (how many objects the algorithm found were actually elephants). It is noted that during the experiment, scientists focused on incorrectly recognized objects and the difference in recognition in pictures with an empty surface and pictures with trees.
As a result of calculations, it turned out that the artificial intelligence showed a result of 0.778 for heterogeneous areas and 0.73 for homogeneous areas, when the volunteers had a result of 0.8 and 0.776, respectively. The main obstacle to the study was the high cost of satellite imagery.
Earlier, scientists at the University of the Sunshine Coast in Australia found that highly developed artificial intelligence is capable of destroying humanity or inflicting catastrophic damage on it, even without malicious intent.
