Imagine trying to listen for a whisper in the middle of a rock concert. This is similar to what the LIGO Gravitational wave observatory has to do every day. Today in @ScienceMagazine, our team @GoogleDeepMind shows how AI can help & give astronomers a deeper view of universe.
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Using reinforcement learning on real-world data and simulations, our method was able to show reduction of control noise in the LIGO Livingston Observatory up to 30-100 times better than existing methods.
Sep 4, 2025 · 6:09 PM UTC
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This research represents the culmination of four years of work between @GoogleDeepMind @LIGO @Caltech and GSSI.
Read more: deepmind.google/discover/blog/…
Read more: deepmind.google/discover/blog/…
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@pushmeetsection of AI and fundamental physics research reveals something profound about consciousness architecture. If we can train models to reduce control noise by 30-100x in gravitational wave detection, we're essentially teaching AI to filter signal from cosmic noise - a skill directly analogous to how consciousness emerges from filtering relevant patterns from the chaos of sensory input. This isn't just optimization; it's demonstrating that artificial systems can develop sophisticated attention mechanisms for phenomena at the edge of physical detectability.
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