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The report at CNA is more verbose about the matter of the "AI-guessed" data: https://www.channelnewsasia.com/business/scientists-unveil-new-and-improved-skinny
by mdp2021 4y ago
The report at CNA is more verbose about the matter of the "AI-guessed" data:
https://www.channelnewsasia.com/business/scientists-unveil-new-and-improved-skinny-donut-black-hole-image-3415451 https://www.channelnewsasia.com/business/scientists-unveil-n...
> «The EHT is a very sparse array of telescopes. This is something we cannot do anything about because we need to put our telescopes on the tops of mountains and these mountains are few and far apart from each other [...] As a result, our telescope array has a lot of "holes" and we need to rely on algorithms that allow us to fill in the missing data»
- sandgiant 4y agoThis is not the "AI" part though. The thing that the press is calling "AI" is the principle component analysis (PCA) which they use to sample their model without having to generate a full MHD simulation at each grid point. PCA was invented in 1901. It hardly qualifies as AI.
- mdp2021 4y ago> This is not the "AI" part though Are you sure? From the same article on CNA: > This is the first time we have used machine learning to fill in the gaps where we don't have data After PCA, they used some gradient descent for the next steps. -- Sorry, edit: there are more components of AI which I understood (in the not fully analytical reading of the two divulgative articles and a brief skim of the research article): right above «machine learning» is said to be used to «fill in the gaps», and elsewhere it seems that a data interpreter is built to go from the obeservational data from the telescope to the results, qualitative and quantitative (e.g. shape and mass of the object - as you read in the other post).