{"ok":true,"nota":{"id":"8d3f6a5762ffde5d","slug":"un-programa-con-inteligencia-artificial-busca-las-particulas-fantasma--8d3f6a","titulo":"Un programa con inteligencia artificial busca las partículas fantasma que atraviesan todo","resumen":"Investigadores desarrollaron SPINE, un programa de aprendizaje automático para identificar neutrinos, partículas casi sin masa que producen el Sol, las estrellas que explotan y los aceleradores. Lo presentan como una herramienta para estudiar mejor estas partículas tan escurridizas.","fuente":"phys","fuenteNombre":"Phys.org","color":"#2b5c8a","autor":"","url":"https://phys.org/news/2026-10-spine-machine-trail-ghost-particles.html","imagen":"https://scx1.b-cdn.net/csz/news/tmb/2026/icarus.jpg","tema":"ciencia","subtemas":["neutrinos","aprendizaje automatico","fisica de particulas","materia oscura"],"entidades":["SPINE","Sol"],"formato":"dato","entretenimiento":false,"pubTs":"2026-10-27T19:10:01.000Z","indexTs":"2026-10-27T19:13:36.609Z","hash":"56c68af6ae5ad939bf6f904a70201624ebbf691aa95e892fe6385af3be80dd62","tsa":{"time":"Oct 27 19:14:15 2026 GMT","provider":"freetsa.org","sobre":"sello"},"stats":{"views":0,"likes":0,"clicks":0,"dwell":0},"tipo":"normal","registro":"hallazgo","porQueImporta":"Cada segundo, billones de neutrinos atraviesan a cada persona sin dejar rastro, y detectarlos es casi imposible con los métodos clásicos. Una herramienta que los reconoce mejor puede ayudar a entender el universo que nos rodea, incluido el origen de la materia. Para alguien de acá, es un recordatorio de que lo más importante del cosmos muchas veces pasa desapercibido. La pregunta de fondo es cuánto de lo que existe seguimos sin ver.","quienFirma":"Phys.org (divulgación científica)","confianza":"divulgacion","consulta":null},"sello":{"hash":"56c68af6ae5ad939bf6f904a70201624ebbf691aa95e892fe6385af3be80dd62","sello":"42fa1e2b498944f92c4cb5d5186c38446eb4eb5baa887e933c4caf72b70bb1a6","beacon":{"drand":{"cadena":"8990e7a9aaed2ffed73dbd7092123d6f289930540d7651336225dc172e51b2ce","ronda":6589914,"aleatorio":"610dc94a1d1da86b8b8a20fdd172d13ecae76ef39e981dd9cf42507c31f74c59","tiempo":"2026-10-27T19:14:00.000Z"},"nist":{"cadena":2,"pulso":2001890,"salida":"5672B1864508FD4C9ABF5153BF4EF9D8143C2C634B5DA312D07CE7947BBB3CB9695F723F082986F85B8DF8DED7A910488C8EDB851E363AF416F27BD95432B96E","tiempo":"2026-10-27T19:12:00.000Z"},"noAntes":"2026-10-27T19:14:00.000Z"},"verificacion":{"drand":true,"nist":true},"tsa":{"time":"Oct 27 19:14:15 2026 GMT","provider":"freetsa.org","sobre":"sello"},"original":{"titulo":"SPINE: A machine-learning program is on the trail of ghost particles","descripcion":"Neutrinos are among the most abundant particles in the universe, but they are also among the most elusive. Nearly massless, they are produced by nuclear reactions in the sun, exploding stars, particle accelerators and even the decay of radioactive elements on Earth. They interact so weakly with ordinary matter that trillions pass through each person every second without leaving a trace. Studying these ghostly particles could help answer some of the biggest questions in physics, from the nature of dark matter to why matter exists at all.","pubDate":"Tue, 27 Oct 2026 15:10:01 EDT","url":"https://phys.org/news/2026-10-spine-machine-trail-ghost-particles.html"},"indexado":"2026-10-27T19:13:36.609Z"}}