True, ML and such fell under the umbrella term of AI before, but I feel that with most people using it mostly for LLMs (or things like diffusion models, etc.) right now, it has kinda list that meaning to some extent…

Had some conversation with another commenter, I agree with you now. Cheers

Thanks for sharing that paper. I was indeed missing that information and now agree with your earlier statement.

I think them using magnetohydrodynamical black hole models as a base for the ML is a better approach than standard CLEAN though that the Japanese team used. However, both “only” approach reality.

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This is one team that disagrees out of many that agree.

To explain what you are seeing. The above image is the inverse Fourier transform (FT) of different frequencies of sinus waves that compose an image.

The very large baseline interferometer (VLBI) applied in the event horizon telescope (EHT) is using different telescopes all over the world, in a technique called interferometry, to achieve high enough resolutions to observe different frequencies in Fourier space that make up an image. If you observe all, you can recreate the full image perfectly. They did not, they observed for a long time and thus got a hefty amount of these “spatial” frequencies. Then they use techniques that limit the image to physical reality (e.g. no negative intensities/fluxes) and clean it from artefacts. Then transform it to image space (via the inverse FT)

Thereby, they get an actual image that approximates reality. There is no AI used at all. The researchers from Japan argued for different approach to the data, getting a slightly different inclination in that image. This may well be as the data is still too few to 100 % determine the shape, but looks more to me like they chose very different assumptions (which many other researchers do not agree with).

Edit: They did use ML for simulations to compare their sampling of the Fourier space to.

What do you mean AI? This is an interferometric Image reconstructed from information of the very large baseline interferometer (VLBI).

Edit: Although I wouldn’t call it AI, they used machine learning (ML) with simulations in their image reconstruction, so I agree

A hue of orange