That we are defying the prevailing theory is of course exciting. However, I see our AI and machine learning approach primarily as a first step.
Michael Janssen
lead researcher
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Key Facts
- An international team of astronomers developed a neural network trained with millions of synthetic simulations and AI to study black holes.1
- Simulations were generated using throughput computing from the Center for High Throughput Computing (CHTC), a joint entity of the Morgridge Institute for Research and the University of Wisconsin-Madison.1
- The AI analysis revealed that the black hole at the center of the Milky Way is spinning at nearly top speed, challenging prevailing theories.1
- Lead researcher Michael Janssen from Radboud University Nijmegen described this AI and machine learning approach as a pioneering first step.1
- The NSF-funded Open Science Pool, operated by PATh and supported by more than 80 institutions across the United States, provided the computing capacity enabling this research.1
Key Stats at a Glance
Number of institutions contributing to the Open Science Pool
more than 80 institutions
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