ETU “LETI”: On AI, Measurement Theory, and Reservoir Computing at Conference Hosted by LETI

ETU “LETI” hosted the 24th International Conference on Soft Computing and Measurement (SCM’2021) on May 26-28. More than 100 scientists from Russia, the USA, Canada, France, Spain, Italy, Finland, China, Bangladesh, Vietnam, Iraq, and Ukraine participated in the event.

SCM’2021 introduced an adviser, a curator who helps promote the conference on an international level. He is a world-renowned scientist in the field of artificial intelligence Hojjat Adeli, Professor at Ohio State University (USA).

Svetlana Prokopchina, a co-chair of the SCM’2021 international program committee, professor of the Financial University, welcomed conference participants. She presented the convolutional approach to the integration of artificial intelligence and measurement theory based on Bayesian intelligent technologies. That can help create a new type of neural network with a wider range of capabilities.

“Our conference is ahead of many international scientific trends. This year, the main topic will be the integration of artificial intelligence and measurement theory. For the first time, we have brought up integration and convolution of AI methods to advance the possibilities of science and technology from Industry 4.0 to Industry 5.0. I am very glad that the conference is being held in my dear alma mater, LETI, which has always been ahead of scientific trends.”

Svetlana Prokopchina, Professor of the Financial University

Vadim Borisov, President of the Russian Association for Artificial Intelligence, presented three approaches to using fuzzy cognitive models to study cyber-physical systems and processes. The first one lies in using models for a preliminary analysis of the situation, followed by a more in-depth study. The second approach involves replacing or improving individual components of fuzzy cognitive models. The third approach proposes to build composite hybrid fuzzy models.

Eric Benoit, Associate Professor at the University of Savoie Mont Blanc (France), presented measurement fundamentals aimed at improving AI approaches. Professor Giovanni Battista Rossi of the University of Genova (Italy) highlighted the main issues of modeling direct and indirect measurements. Sergey Yurish, President of the International Frequency Sensor Association (IFSA), spoke about the possibilities of using artificial intelligence in smart sensors.

During the breakout sessions, Professor Luca Mari of LIUC – Università Cattaneo (Italy) discussed whether there is still a difference between the measurement, computation, simulation in the Big Data age. Professor Witold Pedrycz of the University of Alberta (Canada) focused on data and domain knowledge-oriented elicitation of interpretable information granules in his speech. Professor Hojjat Adeli of Ohio State University (USA) spoke about the impact of ubiquitous machine learning on society.

Mikhail Kupriyanov, Head of Scientific and Educational Areas of ETU “LETI,” presented the projects of the university scientists in energy-efficient hardware architectures, technologies for hardware and software modeling of neural processes, and reservoir computing based on magnonics.

“The level of speeches was so high that I realized: during the conference days, you have to cancel everything so that you don’t lose all the value of the information presented. Everything that we discussed in the sections allows us to say that we are the trendsetters in science and technology.”

Mikhail Kupriyanov, Head of Scientific and Educational Areas of ETU “LETI

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