I got an email from the successor to EatonWeb, asking me to reregister my blog in the new version of their portal. See,
the EatonWeb Portal used to be the place to find blogs about whatever topic you were interested in, and now they’re gone, but a new site, BlogFlux, has sort of inherited the site but is starting over to weed out all the spam. I re-registered Jill/txt of course, though it’s not been approved yet, and I noticed they already have a lot of blogs in the “academic” section. Not all of them look as though they have much to do with academia, but if you’re in the mood for a browse, it might be a good place to start.
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In 2022 I learned about FAIR data, the movement to make research data Findable, Accessible, Interoperable and Reproducible. One of UiB’s brilliant research librarians, Jenny Ostrup, patiently helped me make the dataset from the Machine Vision project FAIR in 2022 – I wrote a little bit about that in my […]
Thanks to everyone who came to the triple book talk of three recent books on machine vision by James Dobson, Jussi Parikka and me, and thanks for excellent questions. Several people have emailed to asked if we recorded it, and yes we did! Here you go! James and Jussi’s books […]
Finally I can share what I’ve been working on! I absolutely loved writing this book, taking the time to dig deep into histories, ideas and theories that I think really help understand how machine vision technologies like facial recognition and image generation are impacting us today. I wanted the book […]
Last night I attended the OpenAI Forum Welcome Reception at OpenAI’s new offices in San Francisco. The Forum is a recently launched initiative from OpenAI that is meant to be “a community designed to unite thoughtful contributors from a diverse array of backgrounds, skill sets, and domain expertise to enable […]
I’m thrilled to announce another publication from our European Research Council (ERC)-funded research project on Machine Vision: Gabriele de Setaand Anya Shchetvina‘s paper analysing how Chinese AI companies visually present machine vision technologies. They find that the Chinese machine vision imaginary is global, blue and competitive. De Seta, Gabriele, and Anya Shchetvina. “Imagining Machine […]
Whenever I give talks about ChatGPT and LLMs, whether to ninth graders, businesses or journalists, I meet people who are hungry for information, who really want to understand this new technology. I’ve interpreted this as interest and a need to understand – but yesterday, Eirik Solheim said that every time […]