Evolvement of artificial intelligence and hybrid methods for modeling and optimization in complex systems : доклад, тезисы доклада

Описание

Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций

Конференция: Hybrid Methods of Modeling and Optimization in Complex Systems (HMMOCS-III 2024); Krasnoyarsk; Krasnoyarsk

Год издания: 2025

Идентификатор DOI: 10.1051/itmconf/20257201004

Аннотация: Artificial intelligence (AI) has rapidly evolved to become an integral part of our daily lives, with its absence potentially causing significant disruptions. This paper examines the current trajectory of AI development and its projected impact on society in the near future. We explore the fundamental aspects of AI technology, its aПоказать полностьюpplications across various sectors, and the associated challenges and opportunities. The study also investigates the integration of hybrid methods for modeling and optimization in complex systems, highlighting their synergistic relationship with AI advancements. By combining analytical and data-driven approaches, these hybrid methods enhance AI's capabilities in addressing multifaceted problems across diverse domains. Our analysis encompasses the potential societal implications of AI, including job market transformations, ethical considerations, and the need for regulatory frameworks. Through this comprehensive examination, we aim to provide insights into the possible future states of AI technology and its far-reaching effects on human society.

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Издание

Журнал: ITM Web of Conferences

Номера страниц: 1004

Место издания: Krasnoyarsk

Персоны

  • Malsagov Bekhan (Kadyrov Chechen State University)
  • Ketova Fardiana (Kabardino-Balkarian State University)
  • Makienko Danila (Siberian Federal University)

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