| 1. |
- Rodgers, Paul, et al.
(author)
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The Lancaster Care Charter
- 2019
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In: Design Issues. - : MIT Press - Journals. - 0747-9360 .- 1531-4790. ; 35:1, s. 73-77
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Journal article (other academic/artistic)abstract
- In the fall of 1991 the Munich Design Charter was published in Design Issues. This charter was written as a design-led “call to arms” on the future nations and boundaries of Europe. The signatories of the Munich Design Charter saw the problem of Europe, at that time, as fundamentally a problem of form that should draw on the creativity and expertise of design. Likewise, the Does Design Care…? workshop held at Imagination, Lancaster University in the autumn of 2017 brought together a multidisciplinary group of people from 16 nations across 5 continents, who, at a critical moment in design discourse saw a problem with the future of Care. The Lancaster Care Charter has been written in response to the vital question “Does Design Care…?” and via a series of conversations, stimulated by a range of presentations that explored a range of provocations, insights and more questions, provides answers for the contemporary context of Care. With nation and boundary now erased by the flow of Capital the Charter aims to address the complex and urgent challenges for Care as both the future possible and the responsibility of design. The Lancaster Care Charter presents a collective vision and sets out new pragmatic encounters for the design of Care and the care of Design.
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| 2. |
- Stathis, Dimitrios, 1989-, et al.
(author)
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Approximate Computing Applied to Bacterial Genome Identification using Self-Organizing Maps
- 2019
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In: 2019 IEEE Computer Society Annual Symposium On VLSI (ISVLSI 2019). - : IEEE. - 9781728133911 ; , s. 562-569
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Conference paper (peer-reviewed)abstract
- In this paper we explore the design space of a self-organizing map (SOM) used for rapid and accurate identification of bacterial genomes. This is an important health care problem because even in Europe, 70% of prescriptions for antibiotics is wrong. The SOM is trained on Next Generation Sequencing (NGS) data and is able to identify the exact strain of bacteria. This is in contrast to conventional methods that require genome assembly to identify the bacterial strain. SOM has been implemented as an synchoros VLSI design and shown to have 3-4 orders better computational efficiency compared to GPUs. To further lower the energy consumption, we exploit the robustness of SOM by successively lowering the resolution to gain further improvements in efficiency and lower the implementation cost without substantially sacrificing the accuracy. We do an in depth analysis of the reduction in resolution vs. loss in accuracy as the basis for designing a system with the lowest cost and acceptable accuracy using NGS data from samples containing multiple bacteria from the labs of one of the co-authors. The objective of this method is to design a bacterial recognition system for battery operated clinical use where the area, power and performance are of critical importance. We demonstrate that with 39% loss in accuracy in 12 hits and 1% in 16 bit representation can yield significant savings in energy and area.
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