Russian neural networks have learned to recognize tigers by sight and predict destructive cyclones

Domestic artificial intelligence (AI), capable of predicting cyclones destructive to the Far East, has surpassed its Japanese counterpart in capabilities several times. Experts spoke about this at the AI ​​Journey conference.

Japanese AI updates weather data every six hours. The Russian algorithm does this once every half hour. In this regard, China and Vietnam have shown interest in the domestic cyclone monitoring system. Also, our products in the field of artificial intelligence are ready to be accepted by partner countries in the EAEU and BRICS, emphasized Irina Petrunina, director of the Department of Competition, Energy Efficiency and Environment of the Russian Ministry of Economic Development.

In addition, AI technologies will help preserve populations of rare and endangered animals. Machine intelligence can replace the classic camera traps that scientists currently use to monitor fauna.

As Maria Solovyova from the Institute of Ecology and Evolution said. A.N. Severtsov RAS, the camera trap takes one picture per hour. Artificial intelligence can monitor wild animals online. The main thing is to teach the neural network to distinguish, say, seals lying on the seashore from similar-looking stones.

However, today AI has learned to recognize tigers literally “in the face”, and from different angles. This also greatly simplifies the work of scientists. In the future, AI may learn to detect poachers and the skins of the animals they kill. For example, the same tiger skin posted on an electronic trading platform, AI will be able to determine by the stripes: which specific animal it belonged to, where it lived and when it became a victim of a criminal.

Forest scientists also need their own artificial intelligence. In particular, they need technology that can predict the movement of insects in the forest. There is no such algorithm yet. But today, AI has learned to determine the health of the forest by sounds: the rustling of leaves, the chirping of birds and the croaking of frogs.