A series of recent observations is bringing the large-scale dark matter scaffolding of the cosmos into sharper observational focus, using techniques that range from gravitational lensing to radio ...

What: New analyses using early observations from the European Space Agency’s Euclid mission examine how galaxy mergers ...

Abstract: Deep supervised learning algorithms typically require a large volume of labeled data to achieve satisfactory performance. However, the process of collecting and labeling such data can be ...

Abstract: Deep learning (DL), a branch of machine learning (ML), is the core technology in today’s technological advancements and innovations. Deep learning-based approaches are the state-of-the-art ...