artificial intelligence

Deploying small language models (e.g., SLMs) on edge devices has become increasingly viable due to advancements in model compression and efficient inference frameworks. Running small models offers significant benefits, including privacy through on-device processing, reduced latency, and increased autonomy. This paper conducts a comparative review and analysis of Node.js inference frameworks that operate on-device. It evaluates frameworks in terms of performance, memory consumption, isolation, and deployability.

The article focuses on the implementation of information functions in the sphere of administrative and legal relations, the significance of which is highlighted in the provisions of the Act of proclamation of independence of Ukraine of august 24. 1991 and the fundamental law of Ukraine, which states that the creation of a national information policy requires the formation of an effective system of information and communication. It is outlined that administrative law is one of the most important branches of law in the field of information relations.

This article explores the interaction between emerging digital technologies − particularly blockchain and artificial intelligence − and European Union law in the field of personal data protection. The research applies methods of legal analysis of EU legal norms and comparative law (notably in the context of Council of Europe practices and other jurisdictions). Particular attention is paid to the legal and ethical challenges posed by the immutability of blockchain records, the absence of a centralized data controller, and the use of automated decision-making without human involvement.

The article is devoted to the application of artificial intelligence in jurisprudence. Artificial intelligence systems can be applied in various sectors of the economy and be integrated into the justice system, spreading across borders and can easily circulate around the world. Some states have already considered adopting national rules to ensure that artificial intelligence is reliable and safe, and that it is developed and used in accordance with fundamental rights obligations.

The latest technologies, especially digital ones, raise many new questions and create new problems for humans. Our safe future depends on our ability to anticipate them. Concepts such as ‘artificial intelligence,’ ‘artificial consciousness,’ and ‘cognitive robotics’ have already penetrated deeply into all spheres of public life. In some people, they evoke admiration and hopes for extraordinary results from the intensive acceleration of certain technical processes that traditionally require meticulous routine ‘manual’ work and a lot of time.

The article systematically examines some problematic issues of legal regulation of public relations in the global information space, in particular, concerning the provision of information security and cybersecurity in the information sphere in the conditions of global digitalization of society, especially concerning the use of information technologies and artificial intelligence technologies.

Abstract. This article addresses the issue of combating deepfakes, which has recently gained significant relevance. With the emergence of publicly available artificial intelligence tools capable of generating highly convincing images, video clips and other types of content, as well as a favorable digital landscape for their dissemination, deepfake technology has become increasingly prevalent. Given the risks of deepfakes, reasonable expectations are placed on the law designed to protect our fundamental values, which are often

Digital transformation of public services in the context of modern information systems and technologies is a relevant area of research, which is due to the growing demands of society for the quality and speed of public services. In the digital economy, artificial intelligence, machine learning and big data processing technologies play an important role, which can significantly increase the efficiency of public administration.

The article presents a comprehensive analysis of methods for assessing the security of virtual networks and their relationship with information security maturity models. Key technical approaches are considered-vulnerability analysis, penetration testing, threat modeling, and quantitative risk assessment- taking into account the specifics of multi-cloud and dynamic environments.

This paper presents a framework for automating software development security using a Security as Code approach enhanced with a multi-agent artificial intelligence system. The research addresses the limitations of traditional DevSecOps practices by deploying specialized AI agents to perform static code analysis, generate and enforce security policies, and monitor system behavior. The architecture integrates security throughout the CI/CD pipeline and runtime, enabling autonomous decision-making, adaptability to threats, and reduced developer overhead.