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Presentation . 2021
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Presentation . 2021
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Introduction to Visual AI in GLAMs

Authors: Bergel, Giles;

Introduction to Visual AI in GLAMs

Abstract

These are the slides from the 2021 Workshop ‘Introduction to Visual AI in GLAMs’, which was part of the series ‘Applying and deploying Artificial Intelligence (AI) in GLAMs’ organised by AI4LAM (Teaching and Learning Working Group) and co-hosted by LIBER and the BnF. This workshop will introduce the use of visual AI for collections research, access and management. Using the example of collaborations between Oxford’s Visual Geometry Group (VGG) and researchers and curators within the GLAM sector, the speaker will provide a hands-on introduction to VGG’s open-source tools for visual search, classification, comparison and annotation. The workshop will provide a benchmark for the state of the art in visual AI across the sector, and discuss critical and ethical issues around privacy, bias and accreditation. The aim of the workshop series is to provide training opportunities for those interested in applying and deploying Artificial Intelligence (AI) in Libraries, Galleries, Archives, and Museums. The series will bring together a diverse community of experts with subject and domain expertise, as well as technologists across GLAM institutions for a collaborative learning event to share tools and experiences and to reflect on the process of applying AI and its implications for GLAM institutions.

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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