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Title: Cynthia Liem. In Copyright.

Creator: Marcel Krijger

Date: 2016-12-10

News Created: 14 April 2021 Cynthia Liem Georgia Evans

Pioneering AI for digital cultural heritage - an interview with Dr Cynthia Liem

On Europeana Pro this month, we are exploring AI-related activities in the cultural heritage sector, and shining a light on women leading research, projects and work in this area. Today, Dr Cynthia Liem discusses her career as a musician and researcher, and the possibilities AI holds for the cultural heritage and performing arts sectors.

Title: G. Reisch, Margarita philosophica

Institution: Wellcome Collection

Country: United Kingdom

CC BY

21 May 2021
14:00 — 16:00 Online

EuropeanaTech x AI: The Qurator Project

Cultural Heritage Institutions europeanatech webinar webinars ai digital-transformation machine-learning

How can Artificial Intelligence (AI) and Machine Learning (ML) help us enrich and research cultural heritage collections?

Title: G. Reisch, Margarita philosophica

Institution: Wellcome Collection

Country: United Kingdom

CC BY

News Created: 12 April 2021 Larissa Borck

Introducing our ‘EuropeanaTech x AI’ webinar series

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The EuropeanaTech Community and Europeana Foundation are delighted to introduce a new webinar series to explore the opportunities and challenges of working with Artificial Intelligence in the cultural heritage and arts sector. We invite you to join us!

Title: G. Reisch, Margarita philosophica

Institution: Wellcome Collection

Country: United Kingdom

CC BY

23 April 2021
14:00 — 16:00 Online

EuropeanaTech x AI: Introduction to the series and the "Saint George on a Bike" Project

Cultural Heritage Institutions europeanatech webinar webinars ai digital-transformation machine-learning

How can Artificial Intelligence (AI) and Machine Learning (ML) help us enrich and research cultural heritage collections?

Title: Mollusc shells: classification chart showing 132 varieties, with a diagram below outlining details of the three main shapes. Coloured lithograph, 1830/1860?

Institution: Wellcome Collection

Country: United Kingdom

CC BY

News Created: 6 April 2021 José Eduardo Cejudo Grano de Oro

Introducing our image classification pilot

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With lowered barriers to access and the development of new practices for Artificial Intelligence (AI), it’s no surprise that AI-related activities in the cultural heritage sector are increasing - a topic in focus on this month on Europeana Pro. In this post, we share work taking place at the Europeana Foundation to create an image classification pilot which uses computer vision algorithms to improve metadata in our records.

Title: "QULTO reCat flyer" by qulto is licensed under CC BY 2.0

15 April 2021
13:45 — 14:15 Online

Europeana Digital Spring Programme: How can you show more than just an object?

europeanatech re-use use-case knowledge-representation semantic-technology webinar webinars

Qulto reCat is a unique automated solution, to enrich your cultural heritage with information you or others already have.