DEAP-3600 is performing direct dark matter searches since 2016. DEAP has a competitive sensitivity to WIMPs due to the
design of the detector, low levels of radioactivity, the large target mass possible with liquid argon (3.3 tons), and background level achieved at SNOLAB (2 km deep).
In addition to the WIMP searches, the latest scientific contributions of DEAP extend to the constraints on dark matter-nucleon effective couplings in the presence of kinematically distinct halo substructures, the characterization of the light production in liquid argon and the associated pulse shape discrimination and detector R&D, which are being implemented and will be fundamental for the design and construction of the next generation of low background experiments.
In this talk I plan to address our last publications, prospects and the latest developments performed at CIEMAT, consisting of the training and analysis of machine learning algorithms based to classify background events more efficiently.