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Born December 30, 1956, Moscow. In 1974, he entered the Moscow Institute of Physics and Technology (MIPT), Faculty of Aeromechanics and Flight Engineering (FALT). As his diploma work, he studied the model of pilot actions during the landing of the Buran. After graduating from the institute in 1980, he was hired by the Moscow Institute of Radio Electronics and Automation (MIREA) in the Neurobionics Laboratory as an engineer, and later as a researcher. Participated in developing and researching neural network models and information processing devices.
Since 1999, he has worked at the Keldysh Institute of Applied Mathematics, Russian Academy of Sciences. In addition to researching neural network algorithms, he was involved in supporting local networks and advanced developments in the field of information GRID technologies.
He has more than 50 scientific papers (for example, https://www.elibrary.ru/author_items.asp?authorid=599010) and regularly participates in conferences on AI and neural network algorithms. Among the latest publications, the following can be highlighted:
• Podoprosvetov, A., Smolin, V., Sokolov, S. (2024). Vector Analysis of Deep Neural Network Training Process. In: Fred, A., Hadjali, A., Gusikhin, O., Sansone, C. (eds) Deep Learning Theory and Applications. DeLTA 2024. Communications in Computer and Information Science, vol 2171. Springer, Cham. pp 219–237. doi
• Zhuravlev, D.V., Smolin, V.S. From the Miracle of Neural Networks to Ideas for AGI // Designing the Future. Problems of Digital Reality: Proceedings of the 7th International Conference (February 15–17, 2024, Moscow). — M.: IPM im. M.V.Keldysh, 2024. - pp. 96-124. - doi
• Smolin V, Sokolov S. AGI’s Hierarchical Component Approach to Unsolvable by Direct Statistical Methods Complex Problems. Engineering Proceedings. 2023; 33(1):67. doi
• Smolin V, Zhuravlev D. AGI as a means of getting "truly" new knowledge using existing experience BICA*AI 2022: Pages 435-442. doi
• Smolin, V. (2022). AI Future: From Internal Vectors to Simple Objects States Subspaces Maps. In: Goertzel, B., Iklé, M., Potapov, A. (eds) Artificial General Intelligence. Lecture Notes in Computer Science(), vol 13154. Springer, Cham. pp. 239–249. doi
Several speeches by V.S. Smolin videos at conferences and seminars are collected in the playlist "Neural networks, consciousness, competition"
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