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Please join us for this free lecture looking at an experiment of machine learning with the BBC’s Research & Development department and the BBC’s archive.

 

 

‘Seen by Machine: machine learning in the BBC Archive’

Daniel Chavez Heras (Digital Humanities / King’s College London )

Date: Thu 6 December 2018

Time 18:00 – 20:00 GMT

Location: King’s College London, Strand, WC2R 1ES

Room: Bush House South, Level 4, Lecture Theatre 2  BH(S)4.04

 

Creative machine learning holds the promise of the automation of the production and reproduction of visual culture. For the experiment discussed in and shown in this lecture, Daniel Chavez Heras (King’s College London) collaborated with a small team of technologists at BBC R&D, and made an algorithm watch BBC’s archive to train it to edit its own film.

In his lecture, Daniel will also discuss the idea of audio-visual archives as “cultural big data”. Could automatic browsing and computational spectatorship be a way to understand how our visual regimes are increasingly mediated by machine seers?

 

Bio: Daniel Chavez Heras has been working with pictures and computers, in various capacities, for more than ten years. He trained as a designer in Mexico and has worked in creative roles in print media and television before joining the British Council as a digital manager, where he was responsible for the digital portfolio of the organisation’s operation in Mexico.

 

This event is part of an ongoing seminar series on "critical inquiry with and about the digital" hosted by the Department of Digital Humanities, King's College London.

 

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