“The emergent technology sees a building as high-level massiveparallel computer – assembled of computing concrete blocks,” the paper states. “Based on the generic principles of neuromorphic computation and reservoir computing we envisage a single building or an urban quarter to turn into a large-scale sensing substrate. It could behave as a universal computer, collecting and processing environmental information in situ enabling appropriate data fusion.” Traditional sensing devices increasingly facilitate a wide range of applications that support individual and societal goals. The more sensors we place the more data we produce, the more data we have to feed into artificial intelligence and machine learning systems, the better those systems become at further supporting our goals. Would fundamentally change sensing from one where key areas are sensed and optimized to one where almost everywhere is incorporated into the network. The broad range of spatio-temporal effects may include infrastructural and human mobility solutions, energy efficiency, bio-diversity conservation, digital activity tracking, better urban management, even art and social applications. It could enable a highly accurate, far-reaching, real-time digital twin not based on advanced predictive ability but based on reality – by turning the building into a digital organism.
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