The article develops a method of controlling a group of unmanned aerial vehicles to search for and destroy enemy objects. The method is to recognize situations and adjust the actions of the group according to it. The basis of the method is the use of an intelligent decision support system. It provides situation recognition, using image recognition materials (intelligence materials), generalization of the obtained information and its comparison with the elements of the set of descriptions of typical situations. The method of controlling a group of unmanned aerial vehicles to search for a
Problem setting. The development of information technologies and especially the COVID-19 coronavirus pandemic have highlighted the problem of digitization of many areas of human activity, including law. Digital tools are increasingly used in the legal business, legal services, law enforcement, including administrative services and even justice. One of the most radical ideas in this area is the translation of legal norms into the form of program code, called “Computational Law” or computational approach to law.
Features of designing a system of automated generation of poetic works, which opens up new opportunities for artistic speech and show business, especially the preparation of poems and songs have been considered. Quite often lyrics without special content become successful due to the lack of complex plots, as well as due to the unobtrusiveness and ease of perception by listeners. Well-known literature sources and available software products that can generate poetic works by combining different methods and algorithms are analyzed.
The article is devoted to the problem of excessive traffic of base station cells. In order to reduce the
impact of this problem on the quality of services of mobile network operators, it is proposed to use
artificial intelligence (AI) technology to analyze and predict the load on the network. AI is great for
wireless environments, as it has a lot of data available for analysis and obtaining certain patterns.
The article proposes a model of machine learning and neural network architecture for forecasting
the load on 5G cells.
Nowadays, marketing research is increasingly important for the success of enterprises. Conducting marketing research reduces the risk of making wrong decisions in the analysis and development of marketing strategies, planning and control of marketing activities.
A review of the book “Gaming AI” by the famous American author, economist and co-founder of the Discovery Institute, George Gilder, in which he argues that Artificial Intelligence (AI) cannot think like a man, but can change conditions of a human jobs. Therefore, he expects that in the future AI will be controlled by a man in those types of jobs that are routine and mechanical, as well as help him/her in creativeness.
A melanoma is the deadliest skin cancer, so early diagnosis can provide a positive prognosis for treatment. Modern methods for early detecting melanoma on the image of the tumor are considered, and their advantages and disadvantages are analyzed. The article demonstrates a prototype of a mobile application for the detection of melanoma on the image of a mole based on a convolutional neural network, which is developed for the Android operating system.
The review examines the content and main problems of the English-language monograph of the German scientist and philosopher, President of the European Academy of Sciences and Arts, founder of the Munich Center for Social Technologies (MCTS), Honorary Professor of the Technical University of Munich, Professor of Mathematics and Natural Sciences at the Univercity of Tübingen Klaus Mainzer.
The development of social networks, personalized assistants, chatbots, and computational algorithms makes the media think about new prospects. Users have long departed from the format of receiving information through one channel. Today, audiences consume content through a variety of channels, from paper noses to receiving data through eyepiece lenses. Under these conditions, journalism must experiment, because no one can predict the trajectory of further transformations of the media system.
In the article were researched the principles of building systems for observation and recognition of objects. Also we have given the classification of human faces recognition methods. Authors have analized the features of operetion for the progressive calibration network (PCN) for human face recognition. And finally has been created and tested the developed face recognition algorithm as the realized software system.