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Have you tried playing with the mini version of DALL-E yet? It’s fun! What DALL-E does is generate wonderful images from written prompts, using a neural network trained on images scraped from the internet that have English language captions attached to them. […]
Call for submissions to a workshop, Bergen, Norway
Workshop dates: 15-17 August 2022
Proposals due: 15 June
The Machine Vision in Everyday Life project invites proposals for an interdisciplinary workshop using qualitative approaches and digital methods to analyse how machine vision is represented in art, science fiction, games, social media and other forms of cultural and aesthetic expression.
For the Machine Vision in Everyday Life project we’ve analysed how machine vision technologies are portrayed and used in 500 works of fiction and art, including 77 digital games, 190 digital artworks and 233 movies, novels and other narratives. You can browse […]
I think you should learn R! No really – I’ve spent the last 6-7 weeks learning R so I can visualise the data we’ve collected in the Database of Machine Vision in Art, Games and Narratives, and it’s not as hard as […]
I’m a visiting scholar at the University of Chicago this year, affiliated with the Center for Applied AI at Booth School of Business. I’m excited about the opportunity to learn from a different disciplinary approach to AI and machine vision. I discovered […]
I’m giving a talk at an actual f2f academic conference today, Critical Borders, Radical Re(visions) of AI, in Cambridge. I was particularly excited to see this conference because it’s organised by the people who edited AI Narratives A History of Imaginative Thinking […]
Matthew
Ah, this looks familiar. We redid the kitchen last year, but redoing the entire home is a tad more complicated. Is this the extreme makeover – home edition? Are you having each and every wall torn down? Are you going for the modern, big space – no walls kind of look or are you just moving the walls around?
Jose Angel
Don’t you tear it off! It’s a palimpsest. Just think – the people in the news didn’t think they would end up in a news item which would be printed and then pasted on a wall and covered over and then uncovered photographed and blogged the world over … let it roll on!