The title from AP is misleading. They are not using any "AI" but a simple principle component analysis and a Monte Carlo minimizer.

> In this approach, we apply principal components analysis (PCA) to a large library of high-fidelity, high- resolution general relativistic magnetohydrodynamic (GRMHD) simulations and obtain an orthogonal basis of image components. PRIMO then uses a Markov Chain Monte Carlo (MCMC) approach to sample the space of linear combinations of the Fourier transforms of a number of PCA components while minimizing a loss function that compares the resulting interferometric maps to the EHT data.

As an exercise in matching up MHD models with real data this can be an interesting study. Too bad the reporting is so off point, as usual. But I guess adding "AI" to your titles gets you more clicks these days.