Version 1
: Received: 5 February 2024 / Approved: 6 February 2024 / Online: 6 February 2024 (05:16:43 CET)
How to cite:
Coccia, M. Dynamics of Converging Scientific and Technological Development in Artificial Intelligence and Quantum Technologies. Preprints2024, 2024020325. https://doi.org/10.20944/preprints202402.0325.v1
Coccia, M. Dynamics of Converging Scientific and Technological Development in Artificial Intelligence and Quantum Technologies. Preprints 2024, 2024020325. https://doi.org/10.20944/preprints202402.0325.v1
Coccia, M. Dynamics of Converging Scientific and Technological Development in Artificial Intelligence and Quantum Technologies. Preprints2024, 2024020325. https://doi.org/10.20944/preprints202402.0325.v1
APA Style
Coccia, M. (2024). Dynamics of Converging Scientific and Technological Development in Artificial Intelligence and Quantum Technologies. Preprints. https://doi.org/10.20944/preprints202402.0325.v1
Chicago/Turabian Style
Coccia, M. 2024 "Dynamics of Converging Scientific and Technological Development in Artificial Intelligence and Quantum Technologies" Preprints. https://doi.org/10.20944/preprints202402.0325.v1
Abstract
Artificial intelligence and Quantum science supports path-breaking technologies for main technological change. The investigation goal of this study is to examine their scientific and technological development to explain drivers of these disruptive technologies. Analyses of data, based on publications and patents in quantum science and artificial intelligence, with a technometric model show that that quantum science and technology has a growth rate of 1.07, artificial Intelligence ha a rate of growth of 1.37, whereas the interaction of quantum science and artificial intelligence generates a convergent technological trajectory that has an accelerated rate of growth of 1.58, higher than trends of these technologies taken individually. These findings here clarify one of the fundamental determinants of the evolution of path-breaking technologies that can support decision making of policymakers, technology analysts and R&D managers to direct R&D investments towards fruitful inter-relationships between radical technologies that foster scientific and technological change in knowledge economies.
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.