IITiS PAN offers the position of a research assistant in the Machine Learning Group. The involved person will participate in the implementation of research topics related to the preparation of machine learning algorithms for industrial applications.
- Author: Łukasz Zimny | Post date: 10.10.2022
- Author: Jarosław Miszczak | Post date: 05.09.2022 | Last modified: 05.12.2022
Date:06/09/2022 - 11:30
We start with a discussion on computational problems and algorithms. We define a generic form of decision problems, and then introduce deterministic finite automaton (DFA) as a basic decider. After having a few examples on the DFAs with discussions on their limitations, we introduce their probabilistic and quantum variants. We present a representative algorithm for each of these variants, followed by a discussion on the quantum advantages in finite automata settings. We shortly review the recent implementations of QFA algorithms on real quantum hardware.
- Author: Jarosław Miszczak | Post date: 29.07.2022
We are pleased to congratulate our employees, Özlem Salehi and Adam Glos for winning the top prize in an international programming competition organized by Classiq. Adam i Özlem got the best score and created a quantum program for a task in which the problem was to solve Kakuro, a mathematical transliteration of a crossword puzzle. A detailed discussion of the task, along with a description of the proposed solution has been made available by the contest organizers.
- Author: Krzysztof Grochla | Post date: 08.06.2022
The recent issue of IEEE Spectrum (400,000 subscribers) has published an article about professor Sami Erol Gelenbe: https://spectrum.ieee.org/erol-gelenbe-profile
- Author: Jarosław Miszczak | Post date: 30.05.2022 | Last modified: 30.05.2022
Date:01/06/2022 - 13:00
Speaker:Weronika Westwańska, ING Bank Śląski
The topic of the talk concerns an innovative approach in the preparation of data used for training of convolutional neural networks for segmentation of color images. The problem of selecting training data and acquiring enough of them, necessary to obtain a model with the highest possible predictive accuracy, is an important issue in the topic of neural networks. Incorrect approach to it can cause that even the best prepared network architecture will not be able to generate a model that will work with satisfactory accuracy.
- Author: Arkadiusz Sochan | Post date: 19.05.2022
We are pleased to announce that on May 6, 2022, a ceremony was held on the occasion of habilitation in the field of computer science with simultaneous promotion to the position of professor at the institute by Dr. Bartłomiej Gardas.
- Author: Jarosław Miszczak | Post date: 12.04.2022 | Last modified: 13.04.2022
Date:14/04/2022 - 12:00
Speaker:Palash Pandya, Uniwersystet Gdański
Gilbert proposed an iterative algorithm for bounding the distance between a given point and a convex set. We apply the Gilbert's algorithm with a few modifications and simplifications to get an upper bound on the Hilbert-Schmidt distance between a given state and the set of separable states. While Hilbert-Schmidt distance does not form a proper entanglement measure, it can nevertheless be used as a very robust indicator of the amount of entanglement.
- Author: Monika Serafin | Post date: 11.04.2022
Prof. Sami Erol Gelenbe will present the COMSTECH-MSTF Webinar on Energy Consumption by ICT: Facts and Challenges on April 18, 2022.
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