IAA-CSIC Severo Ochoa School on Artificial Intelligence and Machine Learning in Astronomy

Información

THE SCHOOL Overview & Scientific Rationale Modern astronomy is entering a data-intensive era in which Artificial Intelligence and Machine Learning are becoming essential scientific tools. From interferometric image reconstruction to source classification and cosmological inference, AI methods are transforming how astronomical discoveries are made. The Instituto de Astrofísica de Andalucía – Severo Ochoa (IAA-SO) School on Artificial Intelligence and Machine Learning in Astronomy 2026 will provide graduate students, postdoctoral researchers, and early-career scientists with practical training in state-of-the-art AI techniques applied to real astronomical datasets from world-leading facilities. Training Modules The school is organized around five major technical pillars, each led by an expert in the field: Image Reconstruction: Optical/infrared interferometry deconvolution utilizing Deep Image Priors Neural Networks (DIP-NN). Radio Surveys: Data augmentation and automated morphological classification of radio sources using CNNs and Vision Transformers (ViT). Large-Scale Structure: Graph Neural Networks (GNNs) for classification and regression tasks on dark matter halo simulati

Estado: Programado

Público: Estudiantes, personal investigador y público especializado; consultar inscripción

Disponible hasta: sábado, 3 de octubre de 2026