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RESULTS OF ARTIFICIAL INTELLIGENCE RESEARCH CENTERS
Prospects of using artificial intelligence in business tasks
V. Kondratyeva, I. O. Pivovarova, R. A. Gorbachevb, V. V. Matyukhinc, D. A. Kornevb, D. A. Gavrilovb, E. A. Tatarinovab, V. E. Buzdinb, I. M. Mikhailovb, O. A. Potkind a Research Center for Applied Artificial Intelligence Systems, Moscow Institute of Physics and Technology (National Research University)
b Moscow Institute of Physics and Technology (National Research University), Dolgoprudny, Moscow Region
c Advanced Combinatorics and Networking Lab, Moscow Institute of Physics and Technology (National Research University), Dolgoprudny, Moscow region
d Sber Automotive Technologies, Moscow
Abstract:
This paper covers the main scientific results and achievements of the Research Center for Applied Artificial Intelligence Systems of the Moscow Institute of Physics and Technology. Accomplishments in key research areas, such as (i) “Natural language analysis based on artificial intelligence methods” and (ii) “Artificial intelligence for robotics and uncrewed vehicle control”, are described. Specifically, within (i), multimodal and recommender models have been studied and text has been shown to be promising from the point of view of modality fusion: the prevailing majority of successful multimodal products work with text modality, and embeddings of any modality can often be reduced to a text embedding. At the same time, applications of multimodal models are obviously little developed: the ability to formulate and solve particular business tasks with their help is in its initial state. Within area (ii), techniques and algorithms are developed for designing a control subsystem for a robotic vehicle intended for visual simultaneous localization and mapping in real time, which improve the quality of navigation under various weather conditions in various environments (urban, rural, highway, etc.). The implementation of this project would simplify the initial prototyping of systems for navigation, computer vision, and positioning of unmanned robotic complexes and devices due to rapid data processing. Additionally, the development of bipedal anthropomorphic robots is underway: research in this scientific-engineering area is actively conducted around the world, numerous scientific works are published, and various competitions are held. To achieve the multifunctionality and flexibility required for operation in a human-friendly environment, a robot should have a design and mechanics maximally similar to parameters human. These requirements are most closely met in bipedal anthropomorphic robots. The concept of a robot design satisfying these requirements has been developed, and its detailed design for prototyping has begun. Additionally, key publications on the presented topics are described, and educational activities of the Center are surveyed.
Keywords:
vSLAM, dialogue systems, bipedal anthropomorphic robots, artificial intelligence.
Citation:
V. Kondratyev, I. O. Pivovarov, R. A. Gorbachev, V. V. Matyukhin, D. A. Kornev, D. A. Gavrilov, E. A. Tatarinova, V. E. Buzdin, I. M. Mikhailov, O. A. Potkin, “Prospects of using artificial intelligence in business tasks”, Dokl. RAN. Math. Inf. Proc. Upr., 508 (2022), 41–49; Dokl. Math., 106:suppl. 1 (2022), S35–S42
Linking options:
https://www.mathnet.ru/eng/danma336 https://www.mathnet.ru/eng/danma/v508/p41
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