AI "Inception" at EPFL differentiates between dark matter interactions and cosmic noise, improving future dark matter studies.
Researchers at EPFL have developed an AI algorithm called "Inception" that can differentiate between dark matter self-interactions and cosmic noise from active galactic nuclei. Dark matter makes up about 85% of the universe's mass but remains challenging to study due to its invisibility. The AI achieved 80% accuracy in its analyses, potentially enhancing future research and data analysis from telescopes like Euclid, and improving our understanding of dark matter's role in the cosmos.
September 06, 2024
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