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.
The seminar will be devoted to results of http://www.nature.com/articles/ncomms7908. A major application of quantum communication is the distribution of entangled particles for use in quantum key distribution.
Director of Institute of Theoretical and Applied Informatics (ITAI) invites young researchers to submit an application to Visegrad Scholarship Program and perform research at ITAI PAS.
In atomic clocks, the frequency of a local oscillator is stabilized based on the feedback signal obtained by periodically interrogating an atomic reference system...
Nested loops occur very often in numerical problems. The aim of the presentation is to show various strategies of parallelizing nested loops on modern architectures -- like Intel Xeon and Intel Xeon Phi. We employ both parallelism and vectorization to accelerate nested loops. It is possible to shorten the runtime when utlilizing the appropriate strategies with the use of good scheduling.
Director of the Institute of Theoretical and Applied Informatics, Polish Academy of Scien ces (ITAI PAS) announces an open competition for a full professor position.
The aim of the work "Local management method in cellular networks" was to develop a new method to change configuration of base stations in an LTE cellular network. The main advantage of developed method is a reduction of reconfigured base stations, which can be profitable for the network operator. To solve the problem of determine optimal transmission power in base stations, analytical models and metaheuristic methods were used.
We introduce Entropy/IP: a system that discovers Internet address structure based on analyses of a subset of IPv6 addresses known to be active, i.e., training data, gleaned by readily available passive and active means. The system is completely automated and employs a combination of information-theoretic and machine learning techniques to probabilistically model IPv6 addresses.
