Artificial Intelligence development, opportunities and challenges
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https://doi.org/10.54939/1859-1043.j.mst.100.2024.146-150Keywords:
Artificial intelligence; Expert systems; Artificial neural networks; Fuzzy logic; Intelligence machine.Abstract
The article presents the development process, opportunities and challenges of artificial intelligence (AI), a field with many practical applications: Medicine, Management Economics, Education, Military, etc. The scope of artificial intelligence includes algorithms, heuristics, genetic algorithms, expert systems, artificial neural networks, fuzzy logic, etc. The article also analyzes the creation of intelligent machines that can think and make decisions independently and the arbitrary and dangerous use of this technology that can lead to disaster (as in the case of nuclear energy). However, concerns about the reduced importance of humans are unfounded because humans not only create intelligent machines but also create machines with their own consciousness and personality.
References
[1]. http://pl.wikipedia.org.
[2]. https://vi.wikipedia.org/wiki/Tri_tue_nhan_tao.
[3]. http://www.systransoft.com/
[4]. L. Hou et al., “Statistical neural network (SNN) for predicting signal-to-noise ratio (SNR) from static parameters and its validation in 16-bit, 125-MSPS analog-to-digital converters (ADCs)”. Rev. Sci. Instrum. 93 (8): 084701, (2022). DOI: https://doi.org/10.1063/5.0093709
[5]. R. Kurzweil, The Age of Spiritual Machines, Books Penguin, (2009).
[6]. James, “ChatGPT creator OpenAI is in talks to sell shares in a tender offer that would double the startup's valuation to $29 billion Insider”, Lakshmi Varanasi, (2023).
[7]. OpenAI, “ChatGPT: Optimizing Language Models for Dialogue”, (2022).
[8]. Clark, Jack “Why 2015 Was a Breakthrough Year in Artificial Intelligence”. Bloomberg News, (2015).
[9]. S. Osowski, “Sieci neuronowe w ujęciu algorytmicznym”, Warszawa, (2016).
