In this paper, we deal with the potential applications of Artificial Intelligence in educational institutions. One of the main goals of applying the mentioned technology is to make the education system more efficient if possible. Based on research in this area in the world, our impression is that there is a long-term plan for introducing AI in schools, as a new kind of learning standard. The idea is not for artificial intelligence to completely take over the domain of education, but for some processes to be better organized or improved, so that the result of learning would be of better quality. New technologies, in the form of modern learning platforms that incorporate AI as one of the most important components of the system, significantly improve the communication and research work of students. It is evident that new generations are coming whose experience will be significantly different from ours, and that the new technologies from the domain of AI that we consider in this paper will significantly affect the design processes in the future.

Modern technologies, in addition to making people's lives easier, faster and better, enable the combination of different technologies to develop solutions to various problems. Global warming is one of the biggest and most dangerous problems facing planet earth. If global warming were presented as a coin, then air pollution and climate change would be two sides of the same coin. Climate change is primarily a problem that has arisen due to the large amount of carbon dioxide (CO2 ) in the atmosphere. Carbon overload occurs mainly due to the combustion of fossil fuels such as coal, oil and gas, or the cutting and burning of forests. There are other harmful gases but CO2 stands out because it poses the greatest risk of irreversible change if it continues to accumulate in the atmosphere. This paper presents a number of different solutions by combining modern technologies for the problem of CO2 emissions globally, where Bosnia and Herzegovina is particularly singled out as one of the countries with the most polluted air in Europe and with the highest mortality rate associated with air pollution. Smart cities use digital technologies, aim to improve the quality of human life and to enable the protection of the environment. The concept of a smart city is described as a set of modern technologies, examples of leading smart cities in the world are given, as well as the advantages of implementing such a solution.

The Internet of Things (IoT) is integrated and applied in various domains such as Smart Home, Healthcare, Industrial IoT (IIoT), and others. IoT allows physical objects to be able to create, receive and exchange huge amounts of data at any time. The goal of such applications is to automate physical objects that will be able to function without human intervention or with minimal intervention depending on the purpose of the application. Because all domains involved involve the use of sensitive data and that data is usually transmitted over insecure channels, security and privacy issues arise due to potential cyber-attacks. This paper presents various IoT security techniques as well as the main security goals and characteristics. Three types of authentication schemes, one-factor, two-factor, and threefactor are then explained. Since authentication is one of the most important security goals, a special focus is on two-factor authentication schemes.

Processing differences between Serbian prepositions and nouns were investigated in two lexical decision experiments. The outcome of the experiments indicate that processing of nouns presented in their citation form is affected primarily by the amount of information (bits) derived from noun's probability. Processing of prepositions appeared to be more complex because, in addition to probability of preposition, processing latency is also affected by number of syntactic functions/meanings carried by a given preposition and number of congruent noun cases. None of these factors per se is correlated with processing latencies. However, when combined into a single unit (expressed in bits) significant proportion of processing latency variability has been accounted for. It was shown that prepositions are processed faster than nouns of equivalent frequency and equivalent length. We conclude this on the basis of the observed differences in slope from linear regression, but also on the basis of differences in averaged RTs for the two word types.