category

Machine learning

Industry-Oriented Computational Discovery
Skolkovo Institute of Science and Technology
Skolkovo Institute of Science and Technology
The laboratory is engaged in conducting a computer search for new materials using modern modeling methods, including quantum chemical computing methods, machine-learning potentials, working with data, and artificial intelligence. All projects are aimed at further practical implementation in the industry.
"Smart" materials
Machine learning
Materials Science
Laboratory of Pharmacokinetics and Metabolomic Analysis
Sechenov First Moscow State Medical University
Sechenov First Moscow State Medical University
Pharmacokinetics, targeted metabolomic studies, study of metabolism
Machine learning
Mass spectrometry
Metabolomics
Laboratory "Industrial systems of streaming data processing", SPbPU
Peter the Great St. Petersburg Polytechnic University
Peter the Great St. Petersburg Polytechnic University
Building systems for data collection, processing, transmission and analysis to solve urgent industrial problems. Development of software and hardware complexes using artificial intelligence technologies, technical vision, and the Internet of Things.
Data analysis
IT
Machine learning
MEGANETLAB 6G
Bonch-Bruevich Saint-Petersburg State University of Telecommunications
Bonch-Bruevich Saint-Petersburg State University of Telecommunications
Field of sciences: Computer, Information Science and Technology. Research area (project topic): Research of ultra-low latency and ultra-high density network technologies based on the widespread use of artificial intelligence for 6G networks. The aim of the project is to create scientific foundations for the advanced implementation of sixth-generation 6G communication networks with the rational use of artificial intelligence technologies in the main network technologies on which 6G can be effectively implemented.
Artificial intelligence
IT
Machine learning
Information technologies in physical materials science
Kazan Federal University
Kazan Federal University
The laboratory's activities are aimed at developing a methodology for the construction of materials and the study of their physical properties based on atomic and molecular modeling and machine learning methods.
Condensed Matter Physics
Machine learning
Materials Science
Theoretical Chemistry Group of the IOH RAS
N.D. Zelinsky Institute of Organic Chemistry of the Russian Academy of Sciences
N.D. Zelinsky Institute of Organic Chemistry of the Russian Academy of Sciences
We solve the most ambitious scientific and technological tasks with the help of information technology. First of all, in the field of chemistry, but we do not limit ourselves to it. We implement 4 main areas of work: Modeling of chemical processes: chemical reactions, materials, biological processes. Development of methods of theoretical chemistry: new methods, testing of existing ones and refinement of program codes for new tasks. AI development for chemical applications: both modeling methods and methods that simplify the life of a synthetic chemist. The study of neuromorphic networks: modeling of processes in the brain and the use of neuromorphic networks in problems of theoretical chemistry
Machine learning
Molecular modeling
Quantum Chemistry
Computer modeling of natural Systems (NSS Lab)
ITMO University
ITMO University
Research in the laboratory focuses on several main areas. Algorithmic directions: automatic machine learning, generative design of physical objects, algorithms for identifying physical models based on data, algorithms for learning probabilistic models, as well as algorithms for composite AI that can combine all of the above
Artificial intelligence
Machine learning
Mathematical modeling
Laboratory of Intelligent Systems
Vyatka State University
Vyatka State University
The laboratory's research interests include natural language processing, machine learning, and neural network language models. The main tasks are the analysis and generation of argumentation in texts, controlled text generation, interpretation of neural network language models.
Artificial intelligence
Machine learning
Neural networks
Laboratory of Machine Learning in Earth Sciences
Moscow Institute of Physics and Technology
Moscow Institute of Physics and Technology
In the laboratory, we are engaged in fundamental and applied research in the fields of geophysics, oceanology, marine geology, marine biology, meteorology, ocean-atmosphere interaction, and climate dynamics.
Geophysics
Machine learning
Neural networks
Laboratory of Cognitive Technologies and Simulation Systems
Tula State University
Tula State University
The purpose of the laboratory's scientific research is to create new mathematical models, methods, algorithms and tools using machine learning and computer vision systems to build intelligent learning systems and simulator complexes.
Data analysis
IT
Machine learning
Computer-aided design of new materials and machine learning
Kazan Federal University
Kazan Federal University
The laboratory's activities are aimed at finding new algorithms for the construction of complex multicomponent materials (heterostructures and composite polymers) with completely new useful properties not inherent in any of its components, promising for use as components of functional microelectronics and spintronics devices using modern machine learning/artificial intelligence methods, quantum mechanical calculations, and molecular dynamics.
Machine learning
Materials Science
Molecular modeling
Laboratory of Neural Systems and Deep Learning
Moscow Institute of Physics and Technology
Moscow Institute of Physics and Technology
The Laboratory of Neural Systems and Deep Learning at MIPT conducts research in the field of deep neural network architectures for working with natural language text (NLP & Conversational AI), as well as in the fields of deep learning theory and neural architecture search.
Machine learning
Digital Architecture and Artificial Intelligence Lab
Tarbiat Modares University
Tarbiat Modares University
Digital Architecture and Artificial Intelligence Lab, Department of Architecture, Tarbiat Modares University, Tehran, Iran
"Green" technologies
Engineering
Machine learning
Applications are open

The Seventh International Scientific Conference “Advances in Synthesis and Complexing”

 Russia, Moscow, RUDN University
Catalysis
Inorganic chemistry
Materials Science
Organic Chemistry
Physical Chemistry
Quantum Chemistry
Dates
26-30 May 2025
Application dates
To 1 March 2025

16th International Conference “Intelligent Systems” (INTELS’24)

 Russia, Moscow, Faculty of Computational Mathematics and Cybernetics, Lomonosov Moscow State University
Artificial intelligence
Data analysis
Machine learning
Robotics
Dates
2-4 December 2024
Application dates
To 1 July 2024

II All-Russian School-seminar on Artificial Intelligence and Big data in technical, industrial, natural and social systems

 Russia, Sarov, Саров
Artificial intelligence
Data analysis
Machine learning
Dates
25-29 November 2024
Application dates
To 22 September 2024

2024 International Conference on Science and Engineering of Electronics (ICSEE'2024)

 China, Wuhan
Artificial intelligence
Data analysis
Electronics
Machine learning
Microelectronics
Quantum Physics
Dates
22-26 November 2024
Application dates
To 29 September 2024

2024 IEEE International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON)

 Russia, Novosibirsk, Akademgorodok
Biomedicine
Computer science
Data analysis
Electronics
Energy industry
Machine learning
Dates
9-11 September 2024
Application dates
To 15 July 2024

All-Russian school-seminar on computer modeling AtoM

 Russia, Chelyabinsk, ParkCity
Computational Chemistry
Machine learning
Molecular modeling
Dates
27-31 August 2024
Application dates
To 1 May 2024

All-Russian conference "XL Siberian Thermophysical Seminar"

 Russia, Novosibirsk, Институт теплофизики СО РАН
Energy industry
Machine learning
Plasma Physics
Thermodynamics
Thermophysics
Dates
20-23 August 2024
Application dates
To 26 April 2024

VII All-Russian Youth Scientific and Practical School-conference "Earth Sciences. The current state"

 Russia, Abakan, Геологический полигон «Шира»
Ecology
Geochemistry
Geology
Geophysics
Machine learning
Mineralogy
Dates
2-8 August 2024
Application dates
To 1 May 2024

International School-Conference "Modern problems of Chemical Physics and Theoretical Chemistry" (PhysChem Challenges 2024)

 Russia, Moscow, Оздоровительный комплекс «Клязьма»
Chemical Physics
Computational Chemistry
Machine learning
Dates
1-5 July 2024
Application dates
1 March 2024 — 30 April 2024

XI National Crystal Chemical Conference

 Russia, Nal'chik, отель «Синдика»
Catalysis
Crystal chemistry
Crystallography
Machine learning
Materials Science
Mineralogy
Dates
1-5 July 2024
Application dates
To 1 March 2024

The 8th International Conference on Deep Learning in Computational Physics

 Russia, Moscow, MSU
Astrophysics
Bioinformatics
Engineering
High Energy Physics
Machine learning
Oceanology
Dates
19-21 June 2024
Application dates
To 3 June 2024

2nd International Explosives Conference

 United Kingdom, Edinburgh, John McIntyre Conference Centre
"Green" chemistry
Energy industry
Machine learning
Materials Science
Organic Chemistry
Dates
18-20 June 2024
Application dates
To 31 January 2024

International Conference "Ivannikov readings"

 Russia, Veliky Novgorod, Новгородская техническая школа
Artificial intelligence
Computer science
Data analysis
Machine learning
Dates
17-18 May 2024
Application dates
To 12 April 2024

International Scientific and Practical conference "Industry 4.0"

 Russia, Sochi, отель "Бархатные сезоны. Екатерининский квартал"
Computer science
Data analysis
Machine learning
Robotics
Dates
24-30 March 2024
Application dates
To 25 February 2024

XXI International Scientific and Practical Conference of Students, Postgraduates and Young Scientists "YOUTH AND MODERN INFORMATION TECHNOLOGIES"

 Russia, Tomsk, ТПУ
Data analysis
Machine learning
Robotics
Dates
19-22 March 2024
Application dates
To 28 February 2024

Online intensive on molecular dynamics methods and machine-learning potentials

Computational Chemistry
Machine learning
Dates
27 January 2024 — 5 February 2024
Application dates
To 19 January 2024

Scientific conference-school "Artificial Intelligence in Chemistry and Materials Science" "Artificial Intelligence in Chemistry and Materials Science"

 Russia, Moscow, ИОХ РАН
Artificial intelligence
Data analysis
Machine learning
Materials Science
Organic Chemistry
Dates
18-20 December 2023
Application dates
To 1 November 2023

5th International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency

 Russia, Lipetsk, Липецкий государственный технический университет
Electronics
Energy industry
Machine learning
Materials Science
Mathematical modeling
Dates
8-10 November 2023
Application dates
To 1 October 2023
Онлайн кейс-чемпионат "Искусственный интеллект в нефтехимии"
St Petersburg
Proposition
Free
Artificial intelligence
Machine learning
Petrochemicals
12 June 2024
Приглашаем к участию в сообществе «Научный опенсорс»
St Petersburg
Proposition
Free
Artificial intelligence
Machine learning
Mathematical modeling
20 September 2023
Ищут лидера команды разработки системы машинного зрения на проект по созданию технологии сортировки и аналитики потока отходов
Moscow
Proposition
Paid
Artificial intelligence
Computer vision
Machine learning
10 August 2023
Ищем разработчика-исследователя на проект по созданию технологии вычислительной фотографии
Moscow
Proposition
Paid
Artificial intelligence
Computer vision
Data analysis
Machine learning
Mathematics
Neural networks
2 June 2023
Приглашаем к сотрудничеству молодых исследователей!
Ivanovo
Proposition
For co-authorship
Machine learning
Organic Chemistry
31 May 2023
Открытый конкурс МФТИ по отбору постдоков продлен до 15 июня
Dolgoprudnyy
Proposition
Free
"Smart" materials
Aging
Algebra
Alternative energy
Analytical chemistry
Artificial intelligence
Astrophysics
Atomic force microscopy
Atomic physics
Biochemistry
Bioengineering
Bioinformatics
Biomaterials
Biomedicine
Bioorganic chemistry
Biophysics
Biosensorics
Biotechnology
Cell Biology
Chemical Physics
Cognitive Sciences
Combinatorics
Composites
Computational Physics
Computer science
Computer vision
Condensed Matter Physics
Cryoelectronic microscopy
Crystallography
Data analysis
Drug Design
Electronics
Elementary Particle Physics
Engineering
General theory of relativity
Genetics
Group theory
High Energy Physics
IR spectroscopy
Instrumentation
Laser physics
Machine learning
Mass spectrometry
Materials Science
Mathematical modeling
Mathematical physics
Mathematics
Medical Physics
Microelectronics
Microscopy
Molecular Biology
Molecular Physics
Molecular beam epitaxy
Molecular modeling
Nanoelectronics
Nanomedicine
Nanophotonics
Nanotechnology
Navigation technologies
Neural networks
Neuroscience
Neutron research
Optics
Optoelectronics
Optogenetics
Organic Electronics
Organic materials
Photonics
Physical Chemistry
Physics of vibrations and waves
Plasma Physics
Probability theory
Quantum Chemistry
Quantum Cryptography
Quantum Physics
Radio engineering
Radiophysics
Robotics
Sensors
Solid State Physics
Spectroscopy
Spintronics
Statistical physics
Statistics
Structural Biology
Superconductivity
Supramolecular chemistry
Synchrotron research
Targeted therapy
Tissue Engineering
13 April 2023