Is artificial intelligence natural?
Abstract
The artificial intelligence development is taking place due to the creative algorithms that are formulated by natural intelligence. Many regularities in the functioning of natural neural networks are the basis for this issue development. Will the ideas of natural intelligence be demanded in future, if the unique functioning algorithms are generated by artificial intelligence?
About the Authors
T. Filipovich
Институт физиологии НАН Беларуси
Belarus
Belarus
V. Kulchitsky
Институт физиологии НАН Беларуси
Belarus
Belarus
References
1. Qingzhou L., Yihang L., Ji L., Christian L., Fanqi W., Anyi Z., Zhen L., Mingrui C., Hongyu F., Jeffrey D., Xuan C., Chongwu Z. Fully Printed All-Solid- State Organic Flexible Artificial Synapse for Neuromorphic Computing // ACS Appl Mater Interfaces. 2019. №11 (18). P. 16749–16757.
2. Wang Z., Liu J., Chen X., Li G., Han H. Sparse self-attention aggregation networks for neural sequence slice interpolation // BioData Min. 2021. №14 (1). P. 1–19.
3. Melamane S., Walker R. B., Khamanga S. M. M. Formulation optimization of smart thermosetting lamotrigine loaded hydrogels using response surface methodology, box benhken design and artificial neural networks // Drug Dev Ind Pharm. 2020. №46 (9). P. 1402–1415.
4. Bermudez-Contreras E. Deep reinforcement learning to study spatial navigation, learning and memory in artificial and biological agents // Biol Cybern. 2021. №115 (2). P. 131–134.
5. Sun J., Han G., Zeng Z., Wang Y. Memristor-Based Neural Network Circuit of Full-Function Pavlov Associative Memory With Time Delay and Variable Learning Rate // IEEE Trans Cybern. 2020. №50 (7). P. 2935–2945.
6. Vitalii M P., Andrii O H., Yevheniia O H. Artificial intelligence in medical practice: regulative issues and perspectives // Wiad Lek. 2020. №73 (12). P. 2722–2727.
7. Segato A., Marzullo A., Calimeri F., De Momi E. Artificial intelligence for brain diseases: A systematic review // APL Bioeng. 2020. №4(4). P. 041503.
8. Yang H., Di X., Gong Q., Sweeney J., Biswal B. Investigating inhibition deficit in schizophrenia using task-modulated brain networks // Brain Struct Funct. 2020. №225 (5). P. 1601–1613.
9. Fürbass F., Kural M. A., Gritsch G., Hartmann M., Kluge T., Beniczky S. An artificial intelligence-based EEG algorithm for detection of epileptiform EEG discharges: Validation against the diagnostic gold standard // Clin Neurophysiol. 2020. №131 (6). P. 1174–1179.
Review
For citations:
Filipovich T., Kulchitsky V. Is artificial intelligence natural? Science and Innovations. 2021;(5):14-16. (In Russ.)
Views: 92
Email this article 