  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 materio computation, we propose that this type of
presented basic construction unit can be used as a source for "reservoir of
states" necessary for simple tuning of the readout layer. In that perspective,
buildings constructed from computing concrete could function as a highly
parallel information processor for smart architecture. We present an electrical
characterization of the set of samples with different additive concentrations
followed by a dynamical analysis of selected specimens showing fingerprints of
memfractive properties. Moreover, on the basis of obtained parameters,
classification of the signal waveform shapes can be performed in scenarios
explicitly tuned for a given device terminal.
