Priority 2030

On October 23–24, HSE University hosted the landmark fifth Fall into ML 2026 Conference. During the foresight session titled ‘A Humanoid in Your Kitchen: When Will It Happen and What Can Prevent It?’ researchers explored why humanoid robot assistants have not yet become part of our everyday lives, what needs to change for this to happen, and who will be held responsible when such assistants make mistakes.

The HSE Faculty of Computer Science will complete the development of the third phase of the SmartMLOps system by the end of the year. This enterprise platform simplifies and accelerates the deployment of AI models in production environments. The work is being carried out as part of HSE University’s ‘Multi-Agent Platform of AI Solutions for Industry-Specific Tasks.’ Hadi Saleh, Head of the Unit for Applied Technological Solutions at the AI and Digital Science Institute of the HSE Faculty of Computer Science, explains what makes the new system unique and what challenges it will be able to address.

Sixth-generation (6G) communication will require new devices and technologies, and a development team at HSE University is working on solutions in microelectronics and photonics as part of the university's Strategic Technological Project 'Trusted 6G Communication Systems Technology Suite.' In 2026, the researchers developed models and prototypes of devices, experimentally tested their characteristics, and agreed with industrial partners on formats for collaboration. The HSE News Service spoke with project coordinator Alexander Shurakov, Associate Professor at the School of Electronic Engineering of HSE MIEM, about how these developments can move beyond the laboratory.

The AI and Digital Science Instituteat HSE Faculty of Computer Science (FCS) presented a multi-agent hardware–software system that analyses the electrical parameters of industrial equipment and helps detect signs of malfunction at an early stage. The solution is designed to shift maintenance from repairing equipment after failures occur to predicting its condition and scheduling interventions before an emergency arises. The system was presented at the 4^th Professional Conference for the IT and Engineering Community in the Oil and Gas Industry. 

Industrial automation is one of the key applications of artificial intelligence. A predictive analytics system for large electric motors is among the solutions being developed for the industry as part of HSE University’s Strategic Technological Project ‘Multi-Agent Platform of AI Solutions for Industry-Specific Tasks.’ What is predictive analytics, how can it improve the operation of electric motors, and what specialists joined forces to develop this technology? Anton Zarubin, Dean of the School of Computer Science, Physics, and Technology at HSE University–St Petersburg and the project development coordinator, explains in this interview with the HSE News Service.

HSE University researchers will take part in a study of the future of engineering education in Malaysia, while the Malaysian Industry-Government Group for High Technology (MIGHT) will use the iFORA big-data analysis system to validate the findings of its foresight research. These are the outcomes of a visit by HSE representatives to Kuala Lumpur.

Researchers at the HSE FCS AI and Digital Science Institute have developed CAD2TechSpec, a framework that converts 3D models of mechanical parts into machining process plans—step-by-step instructions for machine tools. The solution aims to reduce the time required for the design and preparation of technical process documentation in mechanical engineering, aircraft manufacturing, and other high-tech industries. The study findings have been published in PeerJ Computer Science.

The 5G/6G testbed at the HSE Telecommunications Research Institute is becoming a research platform, an educational laboratory, and a foundation for developing new software components for future networks. It makes it possible not only to observe how a mobile network operates, but also to change its operating conditions and measure the results: data-transmission speed, latency, errors, radio-resource utilisation, and other parameters. Based on the testbed, researchers plan to develop MIMO, O-RAN, xApp, and IAB technologies, as well as experiment with artificial intelligence.

Artificial intelligence is not creating new professions, but rather transforming the nature of existing ones. This was the conclusion reached by participants in the panel session ‘Hybrid Intelligence: Digital and Human Drivers of Development,’ organised by the Institute for Statistical Studies and Economics of Knowledge (ISSEK) at HSE University as part of the 13th International Forum of Technological Development (Technoprom-2026). The experts discussed how the nature of work is changing, which skills are becoming increasingly sought after, and what prevents companies from fully capitalising on new technologies.

A terahertz neuromorphic circuit developed by scientists at HSE University could make 6G communication systems both more accurate and energy-efficient. The circuit enables indoor tracking of mobile devices with an accuracy of up to 99%. The results were presented at PIERS 2026, an international symposium on Photonics and Electromagnetism held in China.