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despu\u00e9s me fui a doctorar a la Universidad de Tokio, a estudiar redes neuronales artificiales (\u2026) Entonces ocurre que hoy esto est\u00e1 de moda, pero es lo que yo he hecho toda mi vida\u00bb.\u00a0<\/p>\n<p>El destacado acad\u00e9mico present\u00f3 algunos aspectos de su trabajo de en el \u00e1rea, compartiendo las l\u00edneas investigativas de \u201cMachine Learning\u201d,\u201dRobotics\u201d,\u201dBig Data\u201d y \u201cData Science\u201d, entre otros, as\u00ed como los procesos, tipos de aprendizajes y entrenamientos realizados para la programaci\u00f3n de robots y los desaf\u00edos que ya se plantean para el futuro. \u00abEstoy pensando en los pr\u00f3ximos 30 \u00f3 40 a\u00f1os, qu\u00e9 es lo que se podr\u00eda hacer y c\u00f3mo, en inteligencia artificial; hay varias definiciones, pero la m\u00e1s simple es tener m\u00e1quinas que se comporten como una persona, por ejemplo, que podamos tener esta conversaci\u00f3n con una m\u00e1quina y tu no notes que es una m\u00e1quina\u00bb, expres\u00f3 el doctor.\u00a0<\/p>\n<p>En ese sentido, el ingeniero el\u00e9ctrico se detuvo a aclarar el cuestionamiento \u00e9tico que se le pudiera acusar al desarrollo y la investigaci\u00f3n en inteligencia artificial, argumentando que como cualquier otra tecnolog\u00eda, est\u00e1 sujeta a la mala utilizaci\u00f3n, y precisamente que \u00e9ste \u00faltimo aspecto, es decir la fragilidad de la benevolencia humana, es donde \u00e9l ve el riesgo, m\u00e1s en que en desarrollo tecnol\u00f3gico en s\u00ed mismo.<\/p>\n<p>\u00abLlevamos 70 a\u00f1os tratando de hacer esto, y no ha sido f\u00e1cil, pero no significa que no se pueda lograr; y efectivamente hay muchas opiniones y muy diversas respecto al tema, sin embargo creo lo que todos los cient\u00edficos piensan, que s\u00ed se puede, la pregunta es cu\u00e1ndo, y eso es otro problema\u00bb, dijo Est\u00e9vez, refiri\u00e9ndose al desaf\u00edo de que robots puedan comunicarse de la misma forma que los humanos.\u00a0<\/p>\n<p>En una de sus conclusiones finales, Est\u00e9vez interpela un cambio en el modelo educativo, que se integre y posicione en la base de los contenidos de aprendizaje a la programaci\u00f3n computacional, explicando que, tal como ve \u00e9l la educaci\u00f3n en los pr\u00f3ximos a\u00f1os, \u00e9sta ser\u00e1 un requerimiento del mismo nivel que la alfabetizaci\u00f3n an\u00e1loga.<\/p>\n<p>La organizaci\u00f3n de la charla estuvo a cargo del docente del Departamento de Inform\u00e1tica y Ciencias de la Computaci\u00f3n, Guillermo Cabrera, quien \u2013junto a Est\u00e9vez, co-participan del Instituto Milenio de Astrof\u00edsica y del Proyecto Alerce que apunta al procesamiento y an\u00e1lisis de millones de alertas captadas en el cielo con diferentes intereses cient\u00edficos.\u201cCada cierto tiempo nos reunimos y esta vez somos aproximadamente 30 personas de varias instituciones en Chile, como seis instituciones, para tratar de resolver los problemas m\u00e1s importantes de ALERCE\u201d, indic\u00f3 el docente.<\/p>\n<p>Pablo Est\u00e9vez, quien obtuvo su doctorado en Tokyo, fue presidente de la Sociedad de Inteligencia Computacional de la IEEE (CIS), y cuenta adem\u00e1s con el reconocimiento IEEE Fellow, categor\u00eda que el directorio del Instituto de Ingenieros El\u00e9ctricos y Electr\u00f3nicos (IEEE por sus siglas en ingl\u00e9s) reserva s\u00f3lo para miembros que han destacado por sus importantes contribuciones en el \u00e1rea.<\/p>\n<p>&nbsp;<\/p>\n<p>[\/et_pb_text][et_pb_gallery _builder_version=\u00bb3.25.4&#8243; 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