Star Formation histories and Chemical enrichment using neural networks

We present spatially resolved Star Formation Histories and metallicity evolution on nearby galaxies. We use Convolutional Neural Networks with a combination of MUSE optical spectroscopy and HST photometry in the UV range. Combined with the high-resolution CO emission information from the PHANGS catalogue, this analysis will allow to infer the timescales for star formation and cloud destruction in different galaxy environments, providing clues about the dominant mechanisms of stellar feedback.