Zobrazeno 1 - 10
of 334
pro vyhledávání: '"Szaciłowski, Konrad"'
Autor:
Crepaldi, Marco, Mohan, Charanraj, Garofalo, Erik, Adamatzky, Andrew, Szaciłowski, Konrad, Chiolerio, Alessandro
Magnetic fluids are excellent candidates for important research fields including energy harvesting, biomedical applications, soft robotics and exploration. However, notwithstanding relevant advancements such as shape reconfigurability, that have been
Externí odkaz:
http://arxiv.org/abs/2211.08152
We stimulate mycelian networks of oyster fungi Pleurotus ostreatus with low frequency sinusoidal electrical signals. We demonstrate that the fungal networks can discriminate between frequencies in a fuzzy or threshold based manner. Details about the
Externí odkaz:
http://arxiv.org/abs/2210.01775
Publikováno v:
In Dyes and Pigments December 2024 231
Publikováno v:
In Journal of Luminescence December 2024 276
Publikováno v:
In Materials Chemistry and Physics 1 April 2024 316
Autor:
Przyczyna, Dawid, Szaciłowska, Maria, Przybylski, Marek, Strzelecki, Marcin, Szaciłowski, Konrad
Reservoir computing is an emerging, but very successful approach towards processing and classification of various signals. It can be described as a model of a transient computation, where influence of input changes internal dynamics of chosen computa
Externí odkaz:
http://arxiv.org/abs/2007.04360
We present results showing the capability of concrete-based information processing substrate in the signal classification task in accordance with in materio computing paradigm. As the Reservoir Computing is a suitable model for describing embedded in
Externí odkaz:
http://arxiv.org/abs/2005.03498
The story of information processing is a story of great success. Todays' microprocessors are devices of unprecedented complexity and MOSFET transistors are considered as the most widely produced artifact in the history of mankind. The current miniatu
Externí odkaz:
http://arxiv.org/abs/2002.07712
Publikováno v:
International Journal of Unconventional Computing, 2019, 14, 267
The increasing popularity of machine learning solutions puts increasing restrictions on this field if it is to penetrate more aspects of life. In particular, energy efficiency and speed of operation is crucial, inter alia in portable medical devices.
Externí odkaz:
http://arxiv.org/abs/2001.04342
Autor:
Wlaźlak, Ewelina, Przyczyna, Dawid, Gutierrez, Rafael, Cuniberti, Gianaurelio, Szaciłowski, Konrad
The enormous amount of data generated nowadays worldwide is increasingly triggering the search for unconventional and more efficient ways of processing and classifying information, eventually able to transcend the conventional von-Neumann-Turing comp
Externí odkaz:
http://arxiv.org/abs/1912.05196