欧洲科学院的AI"Inception"区分了暗物质相互作用和宇宙噪声,改善了未来的暗物质研究. AI "Inception" at EPFL differentiates between dark matter interactions and cosmic noise, improving future dark matter studies.

EPFL的研究人员开发了一种名为“感应”的AI算法,可以区分暗物质自我相互作用和宇宙噪音与活性银河核。 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. 暗物质约占宇宙质量的85%,但由于其隐形性,仍然难以研究。 Dark matter makes up about 85% of the universe's mass but remains challenging to study due to its invisibility. AI在其分析中实现了80%的准确性,有可能加强未来对欧几里德等望远镜的研究和数据分析,并增进我们对暗物质在宇宙中的作用的理解。 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.