OMG sciencefromwww.scientificamerican.com3 weeks agoDeep Math from String Theory Appears in Clashing Black HolesGravitational waves, first detected a decade ago, now reveal new insights into cosmic events, including near misses between black holes.
OMG sciencefromBig Think3 weeks agoStarts With A Bang podcast #117 - Gravitational waves and the UniverseGravitational wave detection has exponentially increased since 2015, approaching 300 confirmed events.Future advancements include space-based detectors and the use of artificial intelligence for improved data collection.
OMG sciencefromCornell Chronicle2 months agoNew high-powered telescope reaches Chilean peak | Cornell ChronicleThe Fred Young Submillimeter Telescope has reached its mountaintop destination and aims to revolutionize our understanding of the universe.
OMG sciencefromwww.scientificamerican.com3 weeks agoDeep Math from String Theory Appears in Clashing Black HolesGravitational waves, first detected a decade ago, now reveal new insights into cosmic events, including near misses between black holes.
OMG sciencefromBig Think3 weeks agoStarts With A Bang podcast #117 - Gravitational waves and the UniverseGravitational wave detection has exponentially increased since 2015, approaching 300 confirmed events.Future advancements include space-based detectors and the use of artificial intelligence for improved data collection.
OMG sciencefromCornell Chronicle2 months agoNew high-powered telescope reaches Chilean peak | Cornell ChronicleThe Fred Young Submillimeter Telescope has reached its mountaintop destination and aims to revolutionize our understanding of the universe.
fromNature3 weeks agoWhy bad philosophy is stopping progress in physicsNature seems to have played us for a fool in the past few decades. Much theoretical research in fundamental physics during this time has focused on the search 'beyond' our best theories.Science
Business intelligencefromNature3 months agoReal-time inference for binary neutron star mergers using machine learning - NatureSimulation-based machine learning improves gravitational-wave signal inference for binary neutron stars, overcoming latency of traditional methods.