University of California, Berkeley | 2018 Sep 10
Artificial intelligence is invading many fields, most recently astronomy and the search for intelligent life in the universe, or SETI.
Researchers at Breakthrough Listen, a SETI project led by the University of California, Berkeley, have now used machine learning to discover 72 new fast radio bursts from a mysterious source some 3 billion light years from Earth.
Fast radio bursts are bright pulses of radio emission mere milliseconds in duration, thought to originate from distant galaxies. The source of these emissions is still unclear, however. Theories range from highly magnetized neutron stars blasted by gas streams from a nearby supermassive black hole, to suggestions that the burst properties are consistent with signatures of technology developed by an advanced civilization.
“This work is exciting not just because it helps us understand the dynamic behavior of fast radio bursts in more detail, but also because of the promise it shows for using machine learning to detect signals missed by classical algorithms,” said Andrew Siemion ...
Artificial Intelligence Helps Breakthrough Listen Find New Fast Radio Bursts
Breakthrough Initiatives: Listen | 2018 Sep 10
Mysterious Light Flashes Are Coming from Deep Space
Space.com | 2018 Sep 11
Fast Radio Burst 121102 Pulse Detection and Periodicity: A Machine Learning Approach ~ Yunfan Gerry Zhang et al
- arXiv.org > astro-ph > arXiv:1809.03043 > 09 Sep 2018