INTEGRATION OF BLOCKCHAIN TECHNOLOGIES AND MACHINE LEARNING WITH DEEP ANALYSIS

The successful development of the digital economy, which we can observe since the advent of the internet, is closely related to progress in several "frontier technologies" (frontier technologies), among which the most important, according to the scientific community and international organizations, are such software-oriented technologies as blockchain, Big Data Analytics (Big Data), Artificial Intelligence (AI) and cloud Computing (Cloud Computing), as well as specialized machine-oriented equipment: 3D printers, internet of Things devices (Internet of things Things, IoT), automation and robotics. Significant progress in the application of these technologies contributes to the growth of production capabilities, labor productivity, and capital return of both digital companies and enterprises of the non-digital economy while transforming their established business models and principles of generating income and expenses of companies. This makes it necessary to study the above technologies in detail from the point of view of analyzing their essence, role, and potential for use in various spheres of economic life. Although the term "blockchain" has recently entered scientific and public use, the idea of the technology appeared in the late 1980s, namely in 1989. Lamport proposed "a model for achieving consensus on results in a network of computers, where computers or the network itself can be unreliable". In 2008, Satoshi Nakamoto proposed the concept of using a decentralized computer network to operate a P2P electronic money system. In the article "Bitcoin: a Peer-to-Peer Electronic Cash System" published on the internet, the innovator described the algorithm of functioning of the Bitcoin cryptocurrency as a completely independent electronic cash system from a single issue Center, which does not require the trust (mediation) of a third party, but relies on direct operations between the parties to the transaction, protected by cryptographic encryption

ARTIFICIAL INTELLIGENCE IN BLOCKCHAIN-PROVIDE DIGITAL TECHNOLOGY

Artificial intelligence technologies, today, are rapidly developing and are an important branch of Computer Science. Artificial intelligence is at the heart of research and development of theory, methods, technologies, and applications for modeling and expanding human intelligence. Artificial intelligence technology has three key aspects, namely data, algorithm, and computing power, in the sense that training an algorithm to produce a classification model requires significant data, and the learning process requires improved computing capabilities. In the age of big data, information can come from a variety of sources (such as sensor systems, Internet of Things (IoT) devices and systems, as well as social media platforms) and/or belong to different stakeholders. This mostly leads to a number of problems. One of the key problems is isolated data Islands, where data from a single source/stakeholder is not available to other parties or training an artificial intelligence model, or it is financially difficult or impractical to collect a large amount of distributed data for Centralized Processing and training. There is also a risk of becoming a single point of failure in centralized architectures, which can lead to data intrusion. In addition, data from different sources may be unstructured and differ in quality, and it may also be difficult to determine the source and validity of the data. There is also a risk of invalid or malicious data. All these restrictions may affect the accuracy of the forecast. In practice, artificial intelligence models are created, trained, and used by various subjects. The learning process is not transparent to users, and users may not fully trust the model they are using. In addition, as artificial intelligence algorithms become more complex, it is difficult for people to understand how the result of training is obtained. So, recently there has been a tendency to move away from centralized approaches to artificial intelligence to decentralized ones

IoT TECHNOLOGY BASED ON AI PLATFORM FOR BLOCKCHAIN E-EDUCATION

The priority elements of the e-government system with Blockchain technologies in the most important socially oriented areas are the electronic health system, electronic education and science system, electronic environment, etc., the introduction of which is designed to make public information open to the public, in particular on the state of the environment, directions and volumes of use of public funds, Land Management, the state of development and use of mineral resources, etc.; automate some processes of management of the relevant areas (personnel, monitoring, finance, reporting); improve the Electronic Document Management System in educational and scientific institutions, healthcare and the environment; ensure that users of the system can receive services in the relevant areas through online services, including checking the validity of documents, registering in electronic queues, and so on. It should be noted that educational institutions provide applicants with "information", which in the learning process should turn into "knowledge". We note that the main difference between knowledge and information is the degree of organization and consciousness of Primary Data. In our opinion, the main difference lies not only in the degree of organization and consciousness of primary data but also in the orientation. So, information is the" raw material " for the formation of knowledge, the main resource, service, and product. Knowledge, in our opinion, is systematic, structured information that an individual has. That is, knowledge is a quality of the individual. A modern successful person needs to learn throughout his life. At the same time, the ability to make decisions independently, the ability to think, and the ability to solve complex interdisciplinary problems in non-standard situations become essential. This makes it necessary for a modern person to have the skills to search, analyze and process information in accordance with the methodology of scientific knowledge using digital technologies. The foundation for obtaining knowledge by a person is education, in the process of which educational institutions provide the applicant with "information" that he must turn into "knowledge". The process of converting information into knowledge in the modern environment is possible only if the information and research competencies are formed

Analog modeling of education for sustainable development in a unified educational space

The paper considers the phenomenon of educational space unification as a reflection of globalization in education. The role of education for sustainable development as a global vector of world educational process in unification of educational space was substantiated. Analysis of peculiarities of education for sustainable development different from academic subjects revealed its cross-disciplinary and cross-cut curricular features. Problems of implementing cross-disciplinary and cross-curricular education in the conditions of subject matter education are stated. An assumption is made about the possibility of using the functional system model to overcome such difficulties. Functional system is a system of control in living organisms, developed in the process of evolution, which combines variability and integrity, direct and feedback, flexible and rigid links of regulation, and provides an orientation of all components of the system to achieve a common result. Stages of "work" of functional system are presented as stages of education for sustainable development embedding into unified educational process. The advantages of educational process and monitoring its results on the basis of functional system are justified. Forecast of perspectives of artificial intelligence application to design education for sustainable development as a functional system is made

Chronological Progress of Blockchain in Science, Technology, Engineering and Math (STEM): A Systematic Analysis for Emerging Future Directions

The emergence of Industry 4.0 has awoken the adoption of blockchain as a key factor to enhance the industrial supply chain across the globe, enabling cost-effective and fast-paced delivery of products and services, ownership of products with privacy, and high security as well as traceability. This new digital horizon is underpinning the future direction of humankind, aligning with the Sustainable Development Goal themes of Good Health and Well-being (SDG3) and Sustainable Cities and Communities (SDG 11). Thus, the main objective of this paper is to elucidate the adoption of blockchain technology in Science, Technology, Engineering, and Math (STEM) disciplines by determining of the key academic research players and the evolution of blockchain in different fields. It begins by clarifying the definition of these concepts, followed by a discussion regarding the chronological progress of blockchain over time, an evaluation of the adoption of blockchain technologies in different key research areas, and lastly, providing comments on several directions to guide practitioners in developing a sustainable global blockchain roadmap in education science