(Innovative technologies and applications of artificial intelligence)
Date and location: March 13, 2026, WSEI Academy, Lublin, Poland
🌐 Conference website:https://conf.nx365.ai
🎥 onference recordings are available on YouTube:
The event was organized as part of the nx365.ai initiative as a series of workshops devoted to the practical applications of modern artificial intelligence in medicine, industry and the service sector.

The event brought together academic and technological speakers. The presentations and lectures provided a substantive overview of the current state of research in computing systems and their industrial implementations.

The program began with an introductory lecture by Professor Tomasz Rymarczyk, focusing on the origins and development of artificial intelligence systems. The lecture included a detailed comparison of the biological evolution of the human mind with the engineering design of computational intelligence. The human brain functions as a dynamic system, in which synaptic connections undergo continuous changes through processes of multichemical plasticity without any top-down programming. Artificial intelligence architecture is characterized by an immutable physical structure of connections with modifiable abstract weights. While biology relies on iterative natural selection and environmental pressure testing over millions of years, computer systems utilize deliberate gradient optimization and brute force computation.


In the second part of the morning session, Dr. Dariusz Wójcik, Eng., delivered a technological lecture. The presentation focused on infrastructure automation and methods for eliminating manual server restarts. Approaches aimed at reducing the burden on IT departments in maintaining the continuity of complex system environments were presented.

The first scientific session, chaired by Professor Edward Kozłowski, featured a presentation by Marcin Dziadosz, who described the application of machine learning algorithms in a hybrid approach to the measurement-reconstruction analysis of multiple inclusions. Łukasz Ciuraj focused on simulation research focused on reinforcement learning for industrial digital twin control systems. Michał Styła presented advanced analytical capabilities for detecting people moving in confined spaces, demonstrating the achievements of multidimensional reflection tomography.




After a break for informal discussions, Dr. Tomasz Cieplak delivered the second thematic lecture. The presentation focused on the crucial issues of information quality management within sensitive and security-critical systems. This topic was discussed in detail using a specific example of infrastructure supporting patient electronic medical records.

Dr. Tomasz Cieplak chaired the second session, which focused on innovative implementations. In this session, Damian Pliszczuk presented a project for an intelligent system supporting medical appointments using semantic analysis mechanisms for doctor-patient dialogue. Łukasz Gugała delivered a lecture on the use of advanced recursive architecture with a built-in attention mechanism for speech signal processing and analysis. The session concluded with a presentation by Dr. Michał Maj, who analyzed generative artificial intelligence as an engineering partner. He discussed an in-depth case study of building a specialized mini-compiler using an algorithm in a model that incorporates human factors in the decision-making loop.




The next expert presentation was the third thematic lecture, delivered by Dr. Grzegorz Kłosowski, Eng. The main discussion focused on optimization issues in process tomography, particularly image reconstruction. The tool facilitating these operations was intended to be generative diffusion models conditioned by appropriate sets of measurement data collected from physical installations.

The substantive phase concluded with a third research session moderated by Dr. Grzegorz Kłosowski. During this panel, Beata Martyna discussed the diagnostic utility of physical signals directly collected from sockets in electric vehicles. Tomasz Smutek discussed the multi-stage process of advanced normalization of highly skewed datasets used in the architecture of scoring modeling logic used in the FMCG distribution segment. The final presentation was a position paper presented by Cezary Pasierkiewicz, presenting the issues of targeted and offensive security testing of large language model structures. The conference concluded with a comprehensive summary of key assumptions and the establishment of further directions for innovation and academic research.



