POTENTIAL OF ARTIFICIAL INTELLIGENCE IN THE BIOECONOMY
DOI:
https://doi.org/10.36074/grail-of-science.20.02.2026.038Keywords:
artificial intelligence, bioeconomy, sustainable development, biotechnology, neural networks, circular economySummary
The article explores the synergy of artificial intelligence and bioeconomy as a key factor in the transition to a circular development model. The role of machine learning, neural networks and big data in the transformation of biotechnology, agriculture and energy is analyzed. The main challenges and opportunities for integrating artificial intelligence into bio-oriented production cycles are identified.
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References
Abramson, J., Adler, J., et al. (2024). Accurate structure prediction of biomolecular interactions with AlphaFold 3. Nature, 630, 493–500. https://doi.org/10.1038/s41586-024-07487-w DOI: https://doi.org/10.1038/s41586-024-07487-w
Arnold, F. H. (2018). Innovation by Evolution: Bringing New Chemistry to Life. Nobel Prize Outreach. https://www.nobelprize.org/prizes/chemistry/2018/arnold/lecture/
Bhardwaj, A., et al. (2022). Artificial intelligence in agriculture: A review. Journal of Agriculture and Food Research, 10, 100412. https://doi.org/10.1016/j.jafr.2022.100412 DOI: https://doi.org/10.1016/j.jafr.2022.100412
Dahmen, N., & Lewerenz, S. (2023). Digitalization for a Sustainable Bioeconomy. Energies, 16(18), 6523. https://doi.org/10.3390/en16186523 DOI: https://doi.org/10.3390/en16186523
European Union. (2024). Artificial Intelligence Act. Official Journal of the EU. http://data.europa.eu/eli/reg/2024/1689/oj
Gasteiger, J. (2020). The Impact of Artificial Intelligence on Chemical Research. Molecules, 25(22), 5352. https://doi.org/10.3390/molecules25225352 DOI: https://doi.org/10.3390/molecules25225352
Javaid, M., et al. (2022). Artificial intelligence applications for industry 4.0: A review. Cognitive Robotics, 2, 31-43. https://doi.org/10.1016/j.cogr.2022.01.001 DOI: https://doi.org/10.1016/j.cogr.2023.04.003
Jumper, J., et al. (2021). Highly accurate protein structure prediction with AlphaFold. Nature, 596, 583–589. https://doi.org/10.1038/s41586-021-03819-2 DOI: https://doi.org/10.1038/s41586-021-03819-2
Kovtun, V. (2022). Digitalization as a tool for increasing the efficiency of the agricultural sector of Ukraine. Economic Analysis, 32(1), 124-132. https://doi.org/10.35774/econa2022.01.124
McKinsey Global Institute. (2020). The Bio Revolution. McKinsey & Company. https://www.mckinsey.com/industries/life-sciences/our-insights/the-bio-revolution
Arshadi, M., et al. (2023). The Role of Artificial Intelligence in the Development of Sustainable Bioeconomy. Sustainable Operations and Computers, 4, 1-10. https://doi.org/10.1016/j.susoc.2022.08.001
Zambon, I., et al. (2019). Revolution 4.0: Priorities and Opportunities for Digital Agriculture. Sustainability, 11(10), 2891. https://doi.org/10.3390/su11102891 DOI: https://doi.org/10.3390/su11102891