On October 14th–16th we organized the PACK Horizon Project General Assembly. Consortium partners have come together to celebrate progress, exchange insights and shape the next phase of the journey. The goal of the project is to use smart sensors and a high-tech customs seal to track goods in real time, prevent tampering and reduce unnecessary truck stops.
On the first Friday of september, we hosted a garden picnic for employees of institutes of the Polish Academy of Sciences, held in the garden behind our Institute.
The Academia Europaea's Informatics Section, with the support of the Wrocław Hub of Academia Europaea, is organizing the next "Advances and Challenges of AI" workshop, to be held on November 16–17, 2026, in the historic center of Wrocław. Particular interest is directed toward issues related to the use of artificial intelligence for scientific discovery and support for mathematical proofs, as well as its applications in digital twins, software engineering, cybersecurity and system vulnerability analysis, and the management of edge systems.
This talk explores several emerging technologies that are shaping 6G wireless networks and beyond. It discusses how cell-free architectures and decentralized processing can improve network performance and scalability, how semantic communication and over-the-air computation can enable efficient task-oriented information exchange, and how Integrated Sensing and Communication (ISAC) can transform wireless networks into distributed sensing platforms. The role of digital twins in autonomous network optimization and management is also highlighted.
Professor Erol Gelenbe will give an invited lecture at the International Graduate Summer School on Intelligent Optimisation for Low-Carbon Computing Service Systems, to be held at Peking University in Beijing from 1st to 3rd August 2026. The program is hosted by Peking University and organized by the School of Advanced Manufacturing and Robotics under the leadership of Professor Jie Song, Dean of the School.
IITiS PAN is offering an assistant position in the Security, Modelling and Performance Evaluation Group. The successful candidate will participate in research on the security and robustness of machine learning systems, with particular emphasis on adversarial attacks, defence methods, and vulnerability analysis of machine learning models.
Physics-informed neural networks (PINNs) formulate the solution of partial differential equations as residual minimization problems over neural network parameterizations. Although highly flexible, optimization of PINNs using modern variants of Stochastic Gradient Descent algorithms is expensive. On the other hand, iterative computation of PINN parameterization using the Gauss-Newton method suffers from convergence difficulties, dense Jacobian structures, and poor conditioning that limit the effectiveness of second-order optimization methods.
Electric vehicle charging stations are often constrained by the number of available chargers and waiting spaces. As demand increases, users may experience waiting, blocking, or abandonment, which can reduce the quality of service. This project develops a continuous-time Markov chain model for evaluating the performance of a finite-capacity EV charging station with Erlang-2 charging service and phase-type customer impatience.
Notice of the defense of a doctoral thesis by
Tomasz Śmierzchalski
discipline: information and communication technology
Instytut Informatyki Teoretycznej i Stosowanej PAN uzyskał dofinansowanie z Narodowego Centrum Nauki w ramach konkursu OPUS 30 na realizację projektu badawczego pt. „Metody dla Interpretowalności Głębokich Sieci Neuronowych Inspirowane Psychologią Kognitywną” pod kierownictwem dr inż. Katarzyny Filus.