{"id":4803,"date":"2015-09-11T15:29:36","date_gmt":"2015-09-11T18:29:36","guid":{"rendered":"http:\/\/www.astrofisica.cl\/?p=4803"},"modified":"2024-08-13T16:40:32","modified_gmt":"2024-08-13T16:40:32","slug":"los-desafios-de-la-inteligencia-computacional-aplicada-a-la-astronomia","status":"publish","type":"post","link":"https:\/\/astrofisicamas.cl\/en\/los-desafios-de-la-inteligencia-computacional-aplicada-a-la-astronomia\/","title":{"rendered":"Los desaf\u00edos de la inteligencia computacional aplicada a la astronom\u00eda*"},"content":{"rendered":"

*Reportaje publicado en Revista Beauchef Magazine de la Facultad de Ciencias F\u00edsicas y Matem\u00e1ticas U. de Chile<\/a> (1er Semestre) <\/em><\/p>\n

La inteligencia computacional consiste en un conjunto de paradigmas inspirados en la biolog\u00eda, tales como las redes neuronales artificiales, los algoritmos evolutivos y los sistemas de l\u00f3gica difusa, los cuales se utilizan para modelar, clasificar y predecir se\u00f1ales, im\u00e1genes y datos. Estas t\u00e9cnicas enfrentan grandes desaf\u00edos en su aplicaci\u00f3n a la astronom\u00eda al momento de manejar grandes vol\u00famenes de datos y dominar a la vez el factor tiempo al realizar los an\u00e1lisis pr\u00e1cticamente en l\u00ednea. A ello se refiere el paper Computational Intelligence Challenges and Applications on Large-Scale Astronomical Time Series Databases, publicado el a\u00f1o 2014 en la revista IEEE Computational Intelligence Magazine, siendo el profesor titular del Departamento de Ingenier\u00eda El\u00e9ctrica e investigador del Instituto Milenio de Astrof\u00edsica (MAS), Pablo Est\u00e9vez, uno de los participantes.<\/strong><\/p>\n

Seg\u00fan Est\u00e9vez, en la actualidad la astronom\u00eda se ve confrontada a la generaci\u00f3n acelerada de importantes vol\u00famenes de informaci\u00f3n \u2014Big Data\u2014, que para este caso particular se relaciona con el n\u00famero de objetos estelares existentes en el universo y particularmente en nuestra galaxia.<\/strong> El concepto de VVV (Volumen, Velocidad y Variedad) describe en forma sencilla el sentido del Big Data, un desaf\u00edo que trabaja conjuntamente el MAS y el Centro de Modelamiento Matem\u00e1tico de la FCFM.<\/p>\n

Los requerimientos de la astronom\u00eda son particulares, dado que muchos fen\u00f3menos observados son transitorios y probablemente \u00fanicos. Ante ello, el paper destaca justamente la necesidad de usar t\u00e9cnicas que se adapten a sus necesidades. \u201cEl problema equivale a extraer una aguja en un pajar, es decir, obtener los patrones significativos entre millones de datos, sin confundirlos con otros objetos que pueden ser hasta falsos. De particular inter\u00e9s son los objetos de tipo desconocido, para ello se utilizan algoritmos autom\u00e1ticos que aprenden a detectar eventos que escapan a la norma de lo observado en el universo\u201d, indica Est\u00e9vez.<\/p>\n

Esta investigaci\u00f3n sobre inteligencia computacional propone algoritmos capaces de detectar los fen\u00f3menos astron\u00f3micos que cambian en el tiempo o de posici\u00f3n. Adem\u00e1s, \u201cse profundiza en cu\u00e1les son los desaf\u00edos t\u00e9cnicos, c\u00f3mo funcionan las llamadas redes neuronales artificiales que intentan reproducir la habilidad que tiene el cerebro humano para reconocer y clasificar patrones, a fin de dar sentido a los datos astron\u00f3micos\u201d, concluye el acad\u00e9mico<\/p>","protected":false},"excerpt":{"rendered":"

*Reportaje publicado en Revista Beauchef Magazine de la Facultad de Ciencias F\u00edsicas y Matem\u00e1ticas U. de Chile (1er Semestre) La inteligencia computacional consiste en un conjunto de paradigmas inspirados en la biolog\u00eda, tales como las redes neuronales artificiales, los algoritmos evolutivos y los sistemas de l\u00f3gica difusa, los cuales se…<\/p>","protected":false},"author":1,"featured_media":14296,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_coblocks_attr":"","_coblocks_dimensions":"","_coblocks_responsive_height":"","_coblocks_accordion_ie_support":"","_eb_attr":"","footnotes":""},"categories":[23],"tags":[],"class_list":["post-4803","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-noticias"],"yoast_head":"\nLos desaf\u00edos de la inteligencia computacional aplicada a la astronom\u00eda* - Instituto Milenio de Astrof\u00edsica MAS<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/astrofisicamas.cl\/en\/los-desafios-de-la-inteligencia-computacional-aplicada-a-la-astronomia\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Los desaf\u00edos de la inteligencia computacional aplicada a la astronom\u00eda* - 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