A team led by Professor Alexei Samsonovich is developing AI technology called Virtual Actor, which is able to understand the context of what is happening and which also has emotional intelligence. Such virtual actors can effectively adapt to human psychology, behavior and emotions. A unique social experiment on play interactions between people and computer bots has already been conducted, showing that it has become very difficult to distinguish between the bots and the humans.
Another university, Moscow Institute of Physics and Technology (MIPT), which is a participant in the 5-100 program, is contributing to the development of artificial intelligence with its iPavlov project, which is being carried out as part of the Neuronet roadmap of the National Technological Initiative. It is based on the "conversational" technology of self-learning AI and is an intermediate step in creating a platform on which AI can effectively address bank client requests in order to automate this work to a significant degree.
MIPT specialists pay great attention to AI medical applications. They have presented a neural network architecture to generate new molecular imprints with required properties, into which a neuron indicating a decrease in the number of malignant cells after treatment is introduced. Such a neural network was used to screen 72 million compounds and to select candidate molecules that have potential antitumor properties.
A joint project of the IT, Mechanics and Optics University (ITMO – St. Petersburg) and the Far Eastern Federal University (Vladivostok) focuses on the future of AI. Its goal is to build, in conjunction with the world's leading educational centers, a trans-Eurasian network with the Master’s program, Big Data and Artificial Intelligence for Digital Liberal Arts. This program will make it possible to train the necessary number of professionals in the relevant fields according to the latest standards.
Studies are underway regarding the use of neural networks for managing nuclear power plant systems. Scientists believe that this will improve performance and minimize the number of automatic power controller errors due to the use of multi-purpose computer simulation of a water-water power reactor (VVER).