Structural unit: Academy of Engineering.
The Center conducts fundamental and applied research in mechanics and control processes for complex technical systems. It also develops software and mathematical systems for the design of information technology systems for various purposes using big data processing methods, artificial intelligence and machine learning technologies.
RESOURCES
The available computing resources enable a wide range of work to be carried out on optimizing control systems and creating software and mathematical systems based on big data analysis, artificial intelligence and machine learning.
EQUIPMENT FLEET
The Center’s equipment fleet includes a centralized high-performance cluster to develop methods and algorithms for unmanned ground, aerial and autonomous space hardware; to design robotic systems, storing and processing big data; to perform parallel computing and solve various interdisciplinary problems, including computing segments for training neural networks, for graphic computing information and for performing analytical algorithmic calculations to determine solutions:
- NVIDIA Tesla A100 GPU, PCI-E 4.0, 6912 CUDA cores, 432 Tensor cores, 40GB HBM2 ECC (2 pcs.) CPU AMD EPYC 7642, 48cores, 96 threads 2.3GHz, 3.4GHz Turbo core, cache 256MB, TDP 225W;
- NVIDIA Quadro RTX A6000GPU, 48Gb PCI-E, PCI-E 4.0, 48 GB GDDR6 memory,
384-bit, 4xDisplayPort (2 pcs.) CPU Intel Xeon Gold 6252, 24cores, 48 threads 2.1GHz, 3.7GHz Turbo core, cache 35,75 MB, TDP 150W (2pcs.); - AMD EPYC 7742, 64 cores, 128 threads, 2250 GHz, 3.4 GHz Turbo core, 256 MB cache, 225 W TDP.
THE TEAM
Solves a wide range of problems in the development of mathematical methods and neural network algorithms in mechanics and control processes out of concern of research and industrial specialists.
PARTNERS
- Scientific and Production Association Echelon JSC
- Kaspersky Lab
- Keldysh Institute of Applied Mathematics of the Russian Academy of Sciences (KIAM RAS)
- Blagonravov Mechanical Engineering Research Institute of the Russian Academy of Sciences (IMASH RAN)
- V.A. Trapeznikov Institute of Control Sciences of the Russian Academy of Sciences (ICS RAS)
- Research Institute of Applied Mechanics and Electrodynamics of the Moscow Aviation Institute
- Special Technology Center LLC
- Astronomical Research Center LLC
- ScanEx Group of Companies
- Research and Production Corporation Precision Instrument Systems JSC of the Roscosmos State Corporation
- Mission Control Center of the Central Research Institute of Mechanical Engineering JSC of the Roscosmos State Corporation
- Shvabe Holding of the Rostec State Corporation
- Development of聽neural network technologies for object recognition and computer vision algorithms for the analysis and automation of聽technological processes (industrial automation, control of聽ground and space robotics)
- Development of聽vehicle control systems (unmanned ground and aerial vehicles, unmanned spacecraft) based on聽artificial intelligence and machine learning methods
- Development of聽expert systems and thematic data interpretation systems based on聽machine learning methods (processing remote sensing data from satellites and unmanned aerial vehicles)
Application: industrial process analysis (welding robots, sorting, etc.), processing remote sensing data from satellites and unmanned aerial vehicles, etc. (analogs include MultiVox DICOM Viewer, ABBYY FineReader, ARM Look Inside, Gamma Multivox Web, OPTIMUM SmartLook, Aria, and GEMBAFACE).
Application: transportation (self-driving cars, unmanned aerial vehicles, unmanned spacecraft), construction, repair and maintenance of complex industrial facilities (optimization of pumping equipment operating modes, energy consumption optimization, gas welding, etc.) (analogs: Yandex Vision, Caffe, Label Studio, Diffgram, CVAT, Tesseract OCR, Videointellect).
Application: designing orbits and control systems for interplanetary spacecraft during launch, maneuvering and reentry (analogs: AGI, FreeFlyer).