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Do butterflies migrate? Detailed answer

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Do butterflies migrate?

Everyone knows that birds migrate, that is, at the onset of a certain season, they fly to other lands. But not many people know that butterflies also migrate. An example of this is the burdock butterfly, which travels from Mexico to California every spring. In Europe, the same butterfly species crosses the Mediterranean in spring on its way from Africa to Europe. During migration, thousands, even millions of butterflies appear in the sky.

The most famous of the migratory butterflies is the Danaid butterfly, which winters on the coast of the Gulf of Mexico and in other southern regions. In spring, young females lay their eggs on plants that secrete milky juice. The leaves of these plants are fed by caterpillars hatching from eggs.

When the butterflies grow up, they fly away a little to the north. There they mate and lay their eggs on the same plants, which just by that time begin to grow in more northern regions. This is a very curious way of migration, since for several months several generations of Danaid butterflies, replacing each other, travel further north in search of milkweed and related plants.

Thus, in late summer, not those Danaid butterflies that started the journey, but their descendants, get to Canada. When autumn comes and the weather gets cooler, the surviving Danaid butterflies migrate back in large numbers, forming a huge swarm in the sky, stretching for 20 miles. These masses of butterflies migrate year after year, always following the same route.

Author: Likum A.

 Random interesting fact from the Great Encyclopedia:

Who and when discovered unicorns and winged humanoids on the moon?

In 1835, the New York newspaper The Sun published a series of essays on the discovery of life and civilization on the Moon. Allegedly, astronomer John Herschel assembled a very powerful telescope and attached a microscope to it to see fine details. As a result, he discovered unicorns, tailless beavers and winged humanoids on the moon. The publications made a real sensation and dramatically increased the circulation of the newspaper, which did not fall even after the hoax was exposed.

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The unmanned vehicle will calculate reckless drivers 04.04.2022

The University of Maryland has developed a new method for simulating the behavior of drivers on the road to train autonomous vehicles.

A traffic simulation method developed by researchers at the University of Maryland is based on classifying the behavior of other road users. This model, which the authors called CMetric, analyzes the trajectories of other drivers and pedestrians. Based on the analysis and data obtained using computer vision, the algorithm can predict the possible actions of road users.

“Using CMetric, our simulator can generate virtual motorists with different driving styles to pretrain self-driving cars,” says Angelos Mavrogiannis, one of the developers of the model. “Modeling heterogeneous driving behavior is a core element of our work. We use a deep reinforcement learning model, based on DQN (Deep Q-Network)."

The developers note that in recent years, many companies have been working on the creation of safe and reliable unmanned vehicles. However, for universal use, such machines must be able to move on a variety of roads, not collide with other vehicles, pedestrians, bicycles, animals or other obstacles.

“Despite the great interest in autonomous vehicles, current artificial intelligence methods do not take into account the behavior of human drivers or other drones on the road,” points out Professor Dinesh Manocha, co-author of the work. “The goal of our work is to create reliable technologies that will detect and classify the behavior of others traffic participants (cars, buses, trucks, bicycles, pedestrians) and use the received data when driving.

Behavior behind the wheel, according to the developers, can be divided into two main categories: conservative and aggressive driving. Conservative drivers are more careful and attentive, while aggressive drivers are prone to dangerous maneuvers and sudden movements.

Accurate detection of these behaviors can be very useful for autonomous vehicles, especially at critical moments (for example, when changing lanes or entering a highway). Understanding the actions of other drivers allows AI to adapt its trajectory accordingly, to take safety measures.

"Autonomous navigation systems are usually trained before field testing," said Rohan Chandra, co-author of the development. the navigation system can be trained to handle the complex behavior of drivers in an urban environment."

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