Bypassing reCAPTCHAV2 from Google Using Supply Chain of Neural Networks and Machine Learning

Until recently, the search engine did not understand what exactly was depicted in the photo, which it gave out in the results, but only focused on the words that were found in the text next to this image or that were written in its alt or title attributes (img tag). Modern algorithms of search engines allow finding not only text files, and files marked with text tags, but also similar images. For these purposes, there are several services on the supply chain of network. Search by the user of the Internet of all images from one series or search for an analogue of an object on a photo by driving words into the search string will not be successful. Currently, search on the sample image (photos or any other image) is supported by both search engines leading in Russia - Google and Yandex. But as an alternative, there are services that structure the Internet for easy retrieval of information that the user needs. And at the moment there are social bookmarks, catalogs, torrent trackers, forums, specialized search engines, file sharing. The authors implemented a program that will take a link to the image at the input, and in return give a response from the API in json format

Theoretical aspects of collective Enterprises

This article is devoted to the theoretical issues of the functioning of collective enterprises. The article reveals the concept of a collective enterprise (self-managed firm), as well as the principles of the functioning of such firms. The authors mean collective enterprises by those economic entities which work collective actively participates in making managerial decisions. Moreover, the organizational and legal form of the enterprise is immaterial for the case. The arguments of supporters and opponents of collective management are considered. The main advantage of such enterprises is the high level of motivation of employees interested in eventual outcomes of their work. It is shown that collective enterprises overcome such management problems as imbalance of interests for various participants of economic activity, authoritarianism at the microeconomic level, prevention of workers from participation in production management. At the same time, the main feature of a collective enterprise is not so much the participation of workers in the company's capital, but rather the real economic power of its work collective, what requires formation of a qualitatively different corporate governance culture aimed at broad involvement of employees in managerial and economic processes. The most important argument of opponents of collective enterprises is the ineffectiveness of making group decisions due to the lack of professional competencies among the bulk of ordinary workers. The paper notes that this deficiency is overcome by introducing the system of continuing education for members of the work collective at a collective enterprise. The condition for preserving the advantages of collective enterprises and eliminating their shortcomings is the strengthening of interaction of labor and capital in making decisions in the sphere of production management and the distribution of its results

AUTOMATION OF THE PROCESS OF CONVERTING CURRENCIES INTO ROUBLES ON THE BASIS OF TELEGRAM

This article describes the creation of a Telegram bot that will help us quickly convert any currency into rubles. The main thing for the user will be the simplicity and speed of using this bot. And to a large extent it simplifies the work for many employees who often have to convert foreign currency into rubles. The goal is to create a convenient environment in which users can quickly and without much difficulty convert currencies into rubles. Method or methodology of work: the article considers a method in which any user, specifying the letter code of the currency, can find out the exchange rate for today in rubles. For realization the programming language Python and programming environment PyCharm are used. Result: a tool is developed by which the user can find out the ruble exchange rate in the selected currency. Scope of the results: the data will be used by bank employees or any other users who are interested in the ruble exchange rate