AI

Rapid Parameter Estimation for Extreme Mass Ratio Inspirals Using Machine Learning

Extreme-mass-ratio inspiral (EMRI) signals pose significant challenges in gravitational wave (GW) astronomy owing to their low-frequency nature and highly complex waveforms, which occupy a high-dimensional parameter space with numerous variables. …

Enhancing Gravitational Wave Astronomy with Artificial Intelligence

2024年粒子天体物理重点实验室系列学术报告 | 高能所

Enhancing Gravitational Wave Astronomy with Artificial Intelligence

NZ Gravity seminar | University of Auckland

Frontiers of AI in Gravitational Wave Astronomy

学术讲座 | 甘肃 · 兰州大学

WaveFormer: Transformer-based Denoising Method for Gravitational-wave Data

GWAC 2024 | 湖北 · 荆州

Challenges in space-based gravitational wave data analysis and applications of artificial intelligence

As space-based gravitational wave detection projects such as LISA, Taiji, and Tianqin continue to advance, we are on the cusp of gaining a new viewpoint on observing the universe.However, the scientific data processing for these projects faces …

引力波探测与人工智能:现状与未来

学术讲座 | 北京农学院

人工智能与引力波天文学:挑战、机遇与人才培养

Exploring the Frontiers of Parameter Estimation with AI in Gravitational Wave Research

2024 年重庆引力与天体物理学术研讨会 | 重庆 · 重庆邮电大学

Frontiers of AI in Gravitational Wave Astronomy: From Data Processing to Scientific Discovery

访问讲座 | 辽宁 · 沈阳 · 东北大学