Warianty tytułu
Języki publikacji
Abstrakty
By computational processes, immersive reality and digital twin technologies, generative artificial intelligence tools can automate artistic creative production and labor, transforming and redefining employment, tasks, and jobs by use of synthetic media and data. Machine and deep learning industrialization can augment decision-making by using a real-time, trustworthy, accurate data fabric architecture, and can achieve operational excellence through cloud and edge computing tools, demand sensing and forecasting, and computer vision and natural language processing algorithms. (fragment of text)
Twórcy
autor
- The Institute of Smart Big Data Analytics, United States
autor
- University of Warmia and Mazury in Olsztyn, Poland
Bibliografia
- Peters, M. A., Jackson, L., Papastephanou, M., Jandrić, P., Lăzăroiu, G., Evers, C. W., Cope,C., Kalantzis, M., Araya, D., Tesar, M., Mika, C., Chen, L., Wang, C., Sturm, S., Rider, R., & Fuller, S. (2023). AI and the future of humanity: ChatGPT-4, philosophy and education - Critical responses. Educational Philosophy and Theory. Advance online publication. doi: 10.1080/00131857.2023.2213437.
- Valaskova, K., Vochozka, M., & Lăzăroiu, G. (2022). Immersive 3D technologies, spatial computing and visual perception algorithms, and event modeling and forecasting tools on blockchain-based metaverse platforms. Analysis and Metaphysics, 21, 74-90. doi: 10.22381/am2120225.
- Zvarikova, K., Trnka, M., & Lăzăroiu, G. (2023). Immersive extended reality and remote sensing technologies, simulation modeling and spatial data acquisition tools, and cooperative decision and control algorithms in a real-time interoperable decentralized metaverse. Linguistic and Philosophical Investigations, 22, 43-59. doi: 10.22381/lpi2220233.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
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