{Main page Institute of Computer Science Polish Academy of Sciences}
{News}
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Six IPI PAN Scientists in World’s TOP 2% Scientists 2024 by Stanford University
Once again, scientists from the IPI PAN have been ranked among the most influential 2% of researchers in the world, according to the adopted citation indexes of their publications. This is the fifth edition of the study, based on an article published in the journal PLOS Biology by authors from Stanford University, Elsevier and SciTech Strategies, which presents a publicly available database that provides standardised information taking into account publication output. Congratulations! The distinguished ones from IPI PAN include: Marta Kwiatkowska, Stan Matwin, Zbigniew Michalewicz, Wojciech Penczek, Józef Pieprzyk and this year Wojciech Jamroga joined this group
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2024 ETAPS Test-to-Time Tool Award for PRISM tool by Maria Kwiatkowska
Marta Kwiatkowska, Professor at IPI PAN, and her collaborators Gethin Norman, University of Glasgow, and David Parker, University of Oxford, have been awarded the 2024 ETAPS Test-of-Time Tool Award for their tool PRISM.
READ MORE about 2024 ETAPS Test-to-Time Tool Award -
The launch of the first Polish open large language model: PLLuM
The collaborative efforts of six leading scientific units with expertise in AI, NLP and corpus linguistics are underway to develop the Polish Large Language Model (PLLuM) and an associated smart assistant, both of which are trained predominantly on Polish text. On 29 November, 2023, six leading institutions in Poland that operate in AI and linguistics – Wrocław University of Science and Technology (the consortium leader), the National Information Processing Institute (OPI), the NASK National Research Institute, the Institute of Computer Science PAS (IPI PAN), the University of Lodz, and the Institute of Slavic Studies PAS – joined forces to establish the PLLuM consortium.
READ MORE PLLuM Project -
New classification methods for data with incomplete observability
The IPI PAN's Statistical Analysis and Modeling Group achieved significant results regarding two new machine learning methods for positive-unlabeld data in an important case when their availability depends on the characteristics of the examined entities. The first proposed method examined a new parametric model for generating this type of data and an iterative procedure for estimating its parameters. The second method is based on the concept of variational autoencoders combined with outlier detection techniques. In addition to the theoretical justification of the methods, a significantly better quality of the resulting classifiers for tabular and image data was experimentally demonstrated.
READ MORE New classification methods for data with incomplete observability
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Foundations of Artificial Intelligence Group has been tackling leading AI challenges for four decades. We created a large-scale semantic search engine, and systems for eco-optimization of power network and for assessing consumer price trends. Currently we develop explainable methods of Graph Spectral Analysis, overcoming its black-box nature.
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Linguistic Engineering Group, is the author of resources and tools for processing of Polish. The flagship product (developed jointly with the Institute of the Polish Language PAS, Polish Scientific Publishers and University of Lodz) is the National Corpus of Polish.The Group’s newest achievement is Jasnopis.pl
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Theory of Distributed and Computing Systems Grouphas developed an experimental verifier STV for multi-agent systems with support for ATL strategic logic with imperfect information. Among other things, the tool was used to verify strategic properties in simple election procedures and collective learning algorithms.
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Computational Biology Group – has participated in developing a strategy for detecting mutations in regulator regions, using its own data analysis methods.
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Cryptography Group participated in the design and testing of an encrypted data transmission protocol for the new trading platform of the Warsaw Stock Exchange. The project was implemented with funds from the National Center for Research and Development.
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Statistical Analysis and Modelling Group is achieving very important results on selection of variables in statistic regression problems, differential modelling and development of new models for text production.
