The Research Center implements the project “Artificial Intelligence for Optimizing Managerial Decisions to Reduce Carbon Footprint”. 

The project aims to create software based on strong AI technologies to reproduce the creative professional functions of an industry specialist to develop solutions for the processes of digital transformation and intellectualization of industrial production.

Potential consumers of the solutions are industrial organizations of the real sector of the economy.

A key implementation partner is PJSC Gazprom Neft, so one of the key objectives of the Center is integrated planning of oil and gas field development and development.

Monitoring and modeling of carbon footprint and environmental pollution involves:

• Consolidation of multimodal data to build predictive models;

• Modeling of complex physical and socio-economic phenomena;

• Development of a new class of energy-efficient and high-performance models.

The Center's strategic partners are Sber, Yandex, Gazprom Neft and CityAir. 

The Center's programs of cooperation with partner companies include creating software to assess atmospheric air quality, optimize managerial decisions in oil production, analyze the risks posed by climate change and refine weather forecasts.

Current results

• 2 courses of lectures and seminars on the center's subjects formed and conducted

• 14 postgraduate students who are employees of the center

• 3 engaged industrial partners

• 7 AI articles published in 1st quartile journals and indexed in WOS/SCOPUS systems

• 7 publications in the field of AI at level A* conferences

The Research Center for Applied Artificial Intelligence Systems is engaged in the creation of hardware and software based on open platform solutions for the development of conversational assistants, robotic systems and unmanned vehicles with text, voice, photo and video services. 

In the process of work will be created prototypes of solutions with elements of strong artificial intelligence for use in e-commerce and several other areas. Sberbank of Russia is a strategic partner of the Center.

Current results

• 1 formed and conducted course of lectures and seminars on the subjects of the Center

• 12 post-graduate students who are employees of the Center

• 2 engaged industrial partner

• 1 AI article published in 1st quartile journals and indexed in WOS/SCOPUS systems

• 3 publications in the field of AI at level A* conferences

The Artificial Intelligence Center of NRU-HSE aims to create platform software or hardware/software (software/APO) based on Artificial Intelligence (AI) technology. To do this, the Center's specialists will:

• Conduct basic research;

• Develop software tools for industrial partners;

• Create open software libraries for the social sphere.

• The industrial partners of the center are Sberbank, Yandex and MTS. 

For the Sber ecosystem, the Center plans to develop AI tools for online education, work with human resources, as well as assessment and risk management in the banking sector. AI technologies will also be used in the Sber system to evaluate goods on virtual platforms.

Together with Yandex, the Center plans to create algorithms for car autopiloting. AI technologies will also be used to categorize complex user traits and optimize pricing on the crowdsourcing platform Yandex.Toloka.

MTS, together with the Center, will develop conditional generation models to significantly improve sound and image quality, as well as approaches to distill neural network models.

The results will be able to influence many of the processes and products of all of the Center's industrial partners.

Current results

• 4 formed and conducted course of lectures and seminars on the subjects of the Center

• 11 post-graduate students who are employees of the Center

• 3 engaged industrial partners

• 5 AI articles published in 1st quartile journals and indexed in WOS/SCOPUS systems
  

• 5 publications in the field of AI at level A* conferences

Research Center is developing methods and technologies for creation of trusted artificial intelligence systems. These solutions will reduce the risks of introducing AI in industrial systems.

The aim of the Center is the formation and implementation of methods and appropriate software and hardware platforms for the development and verification of artificial intelligence (AI) technologies with the required level of confidence. During the implementation of the program, the Center plans to carry out:

•  Fundamental and applied research in the field of trusted artificial intelligence;

•  Development of a scalable (cloud) platform, including specialized tools for the development of trusted AI systems, as well as a corresponding PAC;

• Creation and moderation of a distributed community of leading Russian scientists on the Center's topics and consumer ecosystem on the basis of the principle of equal accessibility of the Center's results;

• Preparation of highly qualified personnel through the implementation of new training courses on the subjects of the Center and the involvement of students and young professionals in all activities of the Center, including the development of applied trusted AI systems.

The industrial partners of the Center are Kaspersky Lab, ES-Leasing, Interprocom LLC, and TECHNOPROM.

Current results

• 2 courses of lectures and seminars on the subjects of the Center;

• 8 postgraduate students who are the employees of the center;

• 4 engaged industrial partners;

• 1 AI article published in 1st quartile journals and indexed in WOS/SCOPUS systems

• 2 publications in the field of AI at level A* conferences

The research center implements the task of accelerating the transition of priority sectors of the digital economy, their digital transformation and solving the problems of industrial partners through machine learning and hardware and software based on artificial intelligence technologies.

The Center plans to develop the following industry-specific hardware and software complexes, which will be included in the register of domestic software:

• Petrochemicals and Chemistry;

• Transport;

• Power Engineering;

• Logistics;

• Medicine;

• Provision of services in electronic form.

For the industrial partners of the center, the cooperation will solve significant problems of reducing the cost of technological maintenance and repair of aircraft and urban transport, optimization of warehouse operations and personnel management at the sites.

Cooperation with partners in the field of chemistry will solve the problems of reducing the number of physical experiments and simplifying the introduction of new products to the market of road bitumen.

The objectives of cooperation with strategic partners in the field of medicine are to improve the efficiency of radiation diagnostics and to create a competitive advantage for the developer of CAMI. 

Current results

• 2 formed and conducted courses of lectures and seminars on the subjects of the center

• 9 postgraduate students, who are the employees of the center

• 10 industrial partners engaged

• 6 AI articles published in 1st quartile journals and indexed in WOS/SCOPUS systems
  

• 5 publications in the field of AI at level A* conferences

The research center aims to create software based on strong AI technologies to reproduce the creative professional functions of the industry specialist to develop solutions that provide the processes of digital transformation and intellectualization of industrial production.

Potential consumers of the solutions are industrial organizations of the real sector of the economy.

The key implementation partner is PJSC Gazprom Neft, so one of the key objectives of the Center is integrated planning of oil and gas field development and development.

Current results

• In October 2021, the Center became the winner of the grant competition within the framework of the federal project "Artificial Intelligence"

• 43 postgraduate students who are employees of the center

• 1 engaged industrial partner

• 2 AI articles published in 1st quartile journals and indexed in WOS/SCOPUS systems

• 12 publications in the field of AI at level A* conferences