A billion-parameter, multimodal foundation model for astronomy that unifies heterogenous observations, telescopes, and physical processes into a single framework.
To usher in a new class of machine learning for scientific data, building models that can leverage shared concepts across disciplines. We aim to develop, train, and release such foundation models for use by researchers worldwide.
