In this work, the ability of rare VHE gamma ray selection with neural network methods is investigated in the case when cosmic radiation flux strongly prevails (ratio up to {10^4} over the gamma radiation flux from a point source). This ratio is valid for the Crab Nebula in the TeV energy range, since the Crab is a well-studied source for calibration and test of various methods and installations in gamma astronomy. The part of TAIGA experiment which includes three Imaging Atmospheric Cherenkov Telescopes observes this gamma-source too. Cherenkov telescopes obtain images of Extensive Air Showers. Hillas parameters can be used to analyse images in standard processing method, or images can be processed with convolutional neural networks. In this work we would like to describe the main steps and results obtained in the gamma/hadron separation task from the Crab Nebula with neural network methods. The results obtained are compared with standard processing method applied in the TAIGA collaboration and using Hillas parameter cuts. It is demonstrated that a signal was received at the level of higher than 5.5{\sigma} in 21 hours of Crab Nebula observations after processing the experimental data with the neural network method.

NASA has revealed a stunning mosaic of fake space images used to train its astronomical algorithms – but has hidden within it is a single image of a genuine cosmic marvel. The mosaic below consists of 225 images, 224 of which are fake, created by artificial intelligence (AI). But one shows a real interstellar phenomenon, taken by NASA's Hubble Space Telescope. NASA uses computer algorithms to crunch digital images of the real night sky taken by robotic telescopes, in order to find stars and galaxies and measure their properties. This mosaic consists of 225 images, 224 of which are fake. One is real - but can you spot which one?

At its core, all fundamental science is about making predictions in the form of experiments: precise, quantifiable, falsifiable predictions. As Richard P. Feynman put it: "The fundamental principle of science, the definition almost, is this: the sole test of the validity of any idea is experiment." So if science is about making predictions, how is it different from the predictions that astrologers make? The core distinction is in the kinds of predictions each makes. Most horoscopes, for example, will give you general predictions.