设计人工智能的过程:发展趋势与展望

Eugeniu B. Cozac
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引用次数: 1

摘要

研究的相关性是由于人工智能的快速发展。它是支持日常社会、技术和经济活动的重要技术。人工智能允许计算机从自己的经验中学习,适应设置参数,并执行以前只有人类才能完成的任务。在这方面,本文旨在确定人工智能的发展趋势和前景。另一项相当重要的任务是强调构建人工智能系统的原则。开发人工智能系统与构建传统系统不同,因为它需要系统的方法、大数据分析和模型训练。构建人工智能系统是一个详细的过程,它对人类的特征、机器的能力进行逆向工程,并利用其计算能力超越人类的技能。研究这一问题的主要方法是文献分析,这使得全面考虑人工智能的发展成为可能。这篇文章包括人工智能的现代基础和各种有代表性的应用。在现代数字世界的背景下,人工智能是机器、计算机程序和系统的属性,用于执行智力和创造性的人类功能,独立地找到解决问题的方法,能够得出结论并做出决定。这些研究材料对于批判性地分析当前人工智能的能力、它仍然无法达到人类智能的原因以及它在达到和超越人类智能水平时所面临的挑战具有实用价值
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Process of Designing Artificial Intelligence: Development Trends and Prospects
The relevance of research is due to the rapid development of artificial intelligence. It is an important technology that supports everyday social, technical, and economic activities. Artificial intelligence allows computers to learn from their own experience, adapt to set parameters, and perform tasks that were previously only possible for humans. In this regard, this article is aimed at identifying trends and prospects for the development of artificial intelligence. Another considerable task is to highlight the principles of building artificial intelligence systems. Developing an artificial intelligence system differs from building a conventional system as it requires a systematic approach, big data analysis, and model training. Building an artificial intelligence system − is a detailed process of reverse engineering human traits, capabilities of a machine, and using its computational power to surpass humans' skills. The leading approach to the study of this issue is literature analysis, which makes it possible to comprehensively consider artificial intelligence development. This article includes the modern foundations of artificial intelligence and various representative applications. In the context of the modern digital world, artificial intelligence is the property of machines, computer programmes and systems to perform intellectual and creative human functions, independently find ways to solve issues, be able to draw conclusions and make decisions. The research materials are of practical value for a critical analysis of current artificial intelligence capabilities, reasons why it still cannot achieve human intelligence, and the challenges it faces when achieving and surpassing the level of human intelligence
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