artificial intelligence

WebAssembly (WASM) has emerged as a compelling and transformative solution for executing high- performance Artificial Intelligence (AI) and Machine Learning (ML) models directly within frontend web applications. Traditionally, AI/ML model deployment has been dominated by backend servers due to significant computational demands, coupled with the performance limitations of JavaScript and the overhead of client-server communication.

This article discusses modern approaches to organizing continuous integration (CI) and continuous delivery (CD) processes in software development using artificial intelligence (AI) technologies. The historical development of CI/CD is analyzed, along with their role in ensuring high-quality software, the main advantages and disadvantages of traditional approaches, and the prospects for integrating AI technologies to automate and optimize these processes.

The article is devoted to the rethinking and conceptualization of a number of concepts: “essential human rights”, ‘human freedom and liberties’, ‘human existence’ as key categories in the context of rapid civilizational transformations. By distinguishing and studying the interrelationship of these concepts, the article aims at substantiating their role as the backbone elements of legal doctrine. The author analyzes the ontological foundations of existential rights, emphasizing their inalienability which stems from the very nature of human existence.

The article is devoted to a comprehensive analysis of the manifestation of electoral rights and their modification through digital transformation processes through the analysis of the problems of legal regulation of such aspects as disinformation, manipulation, personal information about the voter. Considerable attention is paid to the role of artificial intelligence in the electoral process, its positive and destructive capabilities are identified.

The article examines the problem of organizing legal security in the information sphere. Based on the provisions of Article 17 of the Constitution of Ukraine and the Information Security Strategy, one of the most important functions of the Ukrainian state at the present stage is to ensure information security. The problem of legal security in Ukraine acquires particular relevance and importance today, during the full-scale invasion of the Russian aggressor, when his insidious aggressive actions are implemented on all fronts, including in the information space.

The problem of high-performance and efficient order scheduling is a common combinatorial optimization problem in various industrial contexts. Creation of a model capable of generating schedules balanced in terms of quality and computational time poses a significant challenge due to the large action space. This study proposes a high-performant environment and a reinforcement learning model for allocating orders to resources using a mechanism of invalid action masking.

In today’s world, where technology is developing at an incredible speed, automated information collection systems have become an integral part of our lives. They affect various aspects of society, including subjective human rights. This impact can be viewed from several perspectives. First of all, it is the significant advantages of automated systems. Such information collection systems significantly increase efficiency and accuracy in many areas. They allow for the rapid processing of large amounts of data, which facilitates informed decision-making.

The article examines the ways artificial intelligence is influencing the penetration testing procedure. As technology advances and cyber threats grow more com- mon, conventional testing methods are insufficient. Artificial intelligence aids in automating processes like vulnerability detection and real-world attack simulation, leading to quicker, more precise results with reduced dependence on human input. Machine learning is a game-changer in identifying hidden security flaws by analyzing past attacks and abnormal patterns.

The article presents possible strategies and approaches to address the growing cybersecurity threat landscape, new trends and innovations, such as artificial intelligence and machine learning for cyber threat detection and automation. The paper presents well-known machine learning classifiers for data classification. The dataset has been taken from a report by the Center for Strategic and International Studies. The presented model accuracy assessment study has been significant variation among algorithms based on different network intrusion detection systems.