About the Institute

Institute of Theoretical and Applied Informatics, Polish Academy of Sciences is a research institute whose science activity concentrates in the area of Information Technology. The Institute is also involved in training an advanced level technical and scientific staff and both initiates and participates in projects aimed at development of innovative commercial sector. ITAI takes part in realization of Polish Academy of Sciences' mission of advancement promotion, integration and dissemination of Polish science and contributes to education and national culture.

  • Date: 

    05/04/2019 - 13:00


    Bartłomiej Gardas, Uniwersytet Jagielloński

    We conduct experimental simulations of many-body quantum systems using a hybrid classical-quantum algorithm. In our setup, the wave function of the transverse field quantum Ising model is represented by a restricted Boltzmann machine.

  • FNP Team Net
    FNP Team Net

    The Foundation for Polish Science announced the results of the first TEAM-NET competition. Co-financing for the total amount of nearly PLN 18 million was received by the consortium CFT, IITiS, UJ.

  • Date: 

    27/03/2019 - 13:00


    Jarosław Duda, Wydział Matematyki i Informatyki, Uniwersytet Jagielloński
    While machine learning techniques are very powerful, they have some weaknesses, like iterative optimization with many local minimums, large freedom of parameters, lack of their interpretability and accuracy control. From the other side we have classical statistics based on moments not having these issues, but providing only a rough description. I will talk about approach which combines their advantages: with MSE-optimal moment-like coefficients, but designed such that we can directly translate them into probability density. For multivariate case such basis of mixed
  • Date: 

    29/01/2019 - 13:00


    Ivanna Dronyuk, Lviv Polytechnic National University

    A new method for constructing a digital water-marking based on the Ateb-functions is proposed. This new approach belongs to methods of protecting images based on hiding data in the frequency domain. It is a generalization the well-known method using Fourier transform. The proposed method, based on the two dimension Discrete Ateb Transform is resistant to most types of attacks. Our experiments prove its efficiency and stability.

  • Date: 

    31/01/2019 - 13:00


    Gregorio Ferreira, ArcelorMittal

    Machine learning and AI has been a trending topic for many years already. However, it is well known the challenges companies are facing to deploy robust solutions taking advantage of this kind of algorithms. The gap between R&D and IT-organisation is still latent, and until both of them don't get to a common point in which the cost and complexity of deploying AI-based solutions are well understood, the possibilities to extract all the value from data are diminished.

  • Date: 

    30/01/2019 - 12:00


    Małgorzata Domino, SGGW w Warszawie, Centrum Badań Biomedycznych

    We call the bioelectric signal an electrical signal that arises in the tissues of living organisms. In particular, the signal generated in the complex functional system of the smooth muscle is interesting and described using EMG. The electromyogram reflects the bioelectrical activity of the smooth muscle of the reproductive system in the form of bioelectric activity recording preceding each systolic activity. At the same time, not all EMG activity triggers systolic activity.

  • IITiS PAN employee Mateusz Ostaszewski received a scholarship in the Etiuda 6 competition of the National Science Center for the project entitled "The use of machine learning in quantum information". The project will be implemented in cooperation with the Department of Computer Science, University College London.

  • Our employee and student of the Faculty of Applied Mathematics at the Silesian University of Technology, Bartosz Grabowski, received the Diamond Grant for the project entitled "Application of knowledge transfer for convolutional neural networks to improve the classification of hyperspectral images".

    Information on the website of Ministry of Science and Higher Education (in Polish)