Science

---

The DarkAI project aims to apply state-of-the-art machine learning algorithms to address frontier problems in cosmology. Its scientific goals include exploring the nature of dark energy and dark matter, probing neutrino properties, investigating cosmic expansion and structure growth histories, measuring the Hubble parameter, refining descriptions of the cosmic web, and so on. Our current research focuses on:

• Estimating cosmological parameters at the field level.
• Inferring galaxy velocities.
• Reconstructing the underlying dark matter field.
• Simulating spectroscopic and photometric surveys.
• Integrating machine learning techniques with traditional large-scale structure statistics.
• 21cm foreground removal.