人工智能和创造性思维,创意产生的未来

IF 16.4 1区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY
Teimuraz Goderdzishvili Teimuraz Goderdzishvili
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引用次数: 0

摘要

人工智能是近年来创造的最成功的现代技术。它的发展始于20世纪60年代,以模拟人类大脑为基础。科学界的兴趣集中在开发机器学习神经网络及其在音乐、艺术、建筑和其他领域的潜在应用上。人工智能越来越有能力产生创造性的想法,并在决策过程中协助人类。凭借先进的算法、机器学习和自然语言处理,人工智能有可能彻底改变创造性思维。在这篇文章中,我们将讨论AI是否能够产生创造性的想法以及这些想法的表现力和创造性。人工智能技术可用于内容创作、信息分析、信息检索和处理等创意产业。新技术的目的是使特定过程自动化,简化它们,保持准确性,并降低生产成本。在某些情况下,它们使我们能够完成以前不可能完成的任务或解决问题。人工智能是一组代码、方法、算法和其他数据,它允许计算机系统模仿人类行为并做出类似人类的决定。人工智能系统广泛使用数据压缩和存储功能,这使它们能够通过观察人类的行为和行为来处理信息。为了产生创造性的想法,人工智能需要不同水平的培训和专业知识,更快的信息处理速度和高质量的分析。人工智能的进步很大程度上取决于数据的相关性。人类的创造性思维通常会利用想象力产生一些不遵循一般规则的原创想法。创造性任务通常需要思想和创新的原创性,这可能很难用人工智能系统复制。人工智能在原创和自动化工作流程中都显示出好坏参半的结果。然而,它越来越多地与人类的创造力和原创思维联系在一起。几十年来,人们对人工智能在创意领域的应用进行了大量研究。关键词:创意,数字技术,人工智能,机器学习语言。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Artificial Intelligence and Creative Thinking, the Future of Idea Generation
Artificial intelligence has been the most successful modern technology created in recent years. Its development began in the 1960s and was based on simulating the human brain. The scientific community's interest has focused on developing machine-learning neural networks and their potential applications in music, art, architecture, and other fields. AI is increasingly capable of generating creative ideas and assisting humans in decision-making processes. With advanced algorithms, machine learning, and natural language processing, AI has the potential to revolutionize creative thinking. In this article, there is discussed whether AI can generate creative ideas and how expressive and creative these ideas can be. AI technologies can be used in creative industries such as content creation, information analysis, information retrieval, and processing. The purpose of new technologies is to automate specific processes, simplify them, maintain accuracy, and reduce production costs. In some cases, they enable us to complete tasks or solve problems that were previously impossible. AI is a set of codes, methods, algorithms, and other data that allow a computer system to imitate human behavior and make human-like decisions. AI systems widely use data compression and storage capabilities, which enable them to process information by observing human actions and behaviors. To generate creative ideas, AI requires a different level of training and expertise, a faster rate of information processing, and high-quality analysis. Advances in AI largely depend on data relevance. Human creative thinking often uses imagination to generate original ideas that may not follow general rules. Creative tasks usually require originality of thought and innovation, which can be challenging to replicate with AI systems. Artificial intelligence has shown mixed results in both original creative and automated work processes. However, it is increasingly being associated with human creativity and original thinking. Over the decades, numerous studies have been conducted on the use of artificial intelligence in the creative field. Keywords: Creative idea, digital technologies, artificial intelligence, machine learning language (NLP).
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来源期刊
Accounts of Chemical Research
Accounts of Chemical Research 化学-化学综合
CiteScore
31.40
自引率
1.10%
发文量
312
审稿时长
2 months
期刊介绍: Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.
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