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BIG (Bjarke Ingels Group) is a multidisciplinary design firm specializing in architecture, engineering, and planning with a focus on innovative and sustainable projects.
arxiv.org arXiv
arxiv.org › abs › 1801.08336v3
Data visualization and analytics are nowadays one of the corner-stones of Data Science, turning the abundance of Big Data being produced through modern systems into actionable knowledge. Indeed, the B...
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At the foot of BIG HQ, BIG’s Landscape team has transformed a former parking area into a 1,500 m2 public park and promenade, inspired by the sandy beaches and the coastal forests of Denmark.
arxiv.org arXiv
arxiv.org › abs › 1712.09552v1
Fog computing serves as a computing layer that sits between the edge devices and the cloud in the network topology. They have more compute capacity than the edge but much less so than cloud data cente...
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Flexible lighting systems designed by BIG and manufactured by Italian Artemide create ambience effects that form comfortable, natural lighting throughout the school day.
arxiv.org arXiv
arxiv.org › abs › 1906.10635v1
Astrobiology is the field of science devoted to searching for life elsewhere in the Universe. It is inherently interdisciplinary, integrating results from multiple fields of science, and in this respe...
arxiv.org arXiv
arxiv.org › abs › 1504.02424v3
The smart electricity grid enables a two-way flow of power and data between suppliers and consumers in order to facilitate the power flow optimization in terms of economic efficiency, reliability and ...
arxiv.org arXiv
arxiv.org › abs › 2401.09789v1
The growing trends in automation, Internet of Things, big data and cloud computing technologies have led to the fourth industrial revolution (Industry 4.0), where it is possible to visualize and ident...
arxiv.org arXiv
arxiv.org › abs › 1911.04625v1
This paper traces strategies used by the Radio Preservation Task Force of the Library of Congress's National Recording Preservation Board to develop a publicly searchable database documenting extant r...
arxiv.org arXiv
arxiv.org › abs › 1909.10389v5
The effective utilization at scale of complex machine learning (ML) techniques for HEP use cases poses several technological challenges, most importantly on the actual implementation of dedicated end-...
arxiv.org arXiv
arxiv.org › abs › 1601.04602v1
Steve Jobs, one of the greatest visionaries of our time was quoted in 1996 saying "a lot of times, people do not know what they want until you show it to them" [38] indicating he advocated products to...
arxiv.org arXiv
arxiv.org › abs › 2012.09109v1
The Internet of Things, crowdsourcing, social media, public authorities, and other sources generate bigger and bigger data sets. Big and open data offers many benefits for emergency management, but al...
arxiv.org arXiv
arxiv.org › abs › 1602.03072v1
Big graph mining is an important research area and it has attracted considerable attention. It allows to process, analyze, and extract meaningful information from large amounts of graph data. Big grap...