{"id":26504,"date":"2026-03-12T11:51:56","date_gmt":"2026-03-12T10:51:56","guid":{"rendered":"http:\/\/www.emiliosilveravazquez.com\/blog\/?p=26504"},"modified":"2026-03-12T11:51:54","modified_gmt":"2026-03-12T10:51:54","slug":"los-pros-y-los-contras-de-las-maquinas-mas-listas-2","status":"publish","type":"post","link":"https:\/\/www.emiliosilveravazquez.com\/blog\/2026\/03\/12\/los-pros-y-los-contras-de-las-maquinas-mas-listas-2\/","title":{"rendered":"Los pros y los contras de  m\u00e1quinas &#8220;m\u00e1s listas&#8221;"},"content":{"rendered":"<p style=\"text-align: justify;\">\u00a0<span style=\"font-size: 1.5em;\">Inteligencia artificial<\/span><\/p>\n<p>&nbsp;<\/p>\n<header><img decoding=\"async\" loading=\"lazy\" class=\"\" src=\"data:image\/jpeg;base64,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\" alt=\"Tendencias de Inteligencia Artificial que est\u00e1n arrasando en 2019\" width=\"322\" height=\"161\" \/><img decoding=\"async\" src=\"data:image\/jpeg;base64,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\" alt=\"Inteligencia Artificial: mitos y leyendas urbanas que son falsos\" \/><\/header>\n<p style=\"text-align: justify;\">\u00a0 \u00a0El aprendizaje autom\u00e1tico es uno de los campos con m\u00e1s proyecci\u00f3n \u00a0en inteligencia artificial.<\/p>\n<p>&nbsp;<\/p>\n<header>\n<blockquote>\n<div><img decoding=\"async\" loading=\"lazy\" class=\"\" src=\"https:\/\/encrypted-tbn0.gstatic.com\/images?q=tbn:ANd9GcTD3JgSq3Imo-NTZU8uEn0ySNxHep3ON7kdkg&amp;usqp=CAU\" alt=\"C\u00f3mo seleccionar el procesador Intel que mejor se ajuste a tus necesidades - Movilidad Profesional HP\" width=\"408\" height=\"245\" \/><\/div>\n<\/blockquote>\n<\/header>\n<blockquote>\n<p style=\"text-align: justify;\">Tenemos la clave para fabricar m\u00e1quinas listas. Intel<\/p>\n<\/blockquote>\n<div style=\"text-align: justify;\">\n<div><strong>Reportaje de Pablo G. Bejerano<\/strong><\/div>\n<footer>\n<address>\u00a0<\/address>\n<\/footer>\n<\/div>\n<div style=\"text-align: justify;\">\n<div>\n<p>Los miles de millones de dispositivos que se conectan a internet cada d\u00eda generan una cantidad abrumadora de informaci\u00f3n. Son montones de terabytes de datos que aparecen de la nada diariamente.<\/p>\n<p>Esto abre el apetito por obtener valor de la informaci\u00f3n. Y la inteligencia artificial es clave aqu\u00ed. El t\u00e9rmino se suele asociar con la rob\u00f3tica, una herencia cultural de la ciencia ficci\u00f3n, pero lo cierto es que la inteligencia artificial es algo\u00a0<a href=\"http:\/\/www.elespanol.com\/ciencia\/tecnologia\/20160517\/125487533_0.html\">mucho m\u00e1s abstracto<\/a>\u00a0que robots humanoides caminando o que los dilemas del superordenador Hall en\u00a0<em>2001: una odisea del espacio<\/em>.<\/p>\n<p>&nbsp;<\/p>\n<p><img decoding=\"async\" src=\"data:image\/jpeg;base64,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\" alt=\"Inteligencia artificial en '2001: Una odisea del espacio', cuando el padre de la 'Singularidad' cre\u00f3 el primer computador asesino\" \/><img decoding=\"async\" loading=\"lazy\" class=\"\" src=\"https:\/\/encrypted-tbn0.gstatic.com\/images?q=tbn:ANd9GcRYmuZ1heG_HDG6tk7sGyKl72L58zF_xMKj-mcN3dNtQ8PwYX2p6kVl5cWNyrG81H6jwsY&amp;usqp=CAU\" alt=\"Kubrick: 2001, una odisea del espacio (1968) \u2013 Aula de Filosof\u00eda de Eugenio S\u00e1nchez Bravo\" width=\"362\" height=\"164\" \/><\/p>\n<p>&nbsp;<\/p>\n<p>Ojo c\u00e1mara (con lente fish eye\u00a0es decir con una visual muy pan\u00f3ptica) de color rojo (para detectar por filtro crom\u00e1tico incluso la &#8220;luz&#8221; IR no perceptible por el ser humano), usado para representar a HALL 9000 en uno de sus aspectos de control pr\u00e1cticamente orweliano.<\/p>\n<p>Podr\u00eda decirse que la inteligencia artificial asoma la cabeza por primera vez en los a\u00f1os 60 con sistemas predictivos y a partir de ah\u00ed evoluciona a velocidad de crucero. Hoy se usa para evitar fraudes bancarios, en el reconocimiento de voz, en el filtro anti spam del correo electr\u00f3nico, incluso en el etiquetado de fotos autom\u00e1tico de Facebook o en los videojuegos.<\/p>\n<p>Lo que est\u00e1 por venir en inteligencia artificial \u2013ya se ha investigado mucho sobre ello\u2013 son los coches aut\u00f3nomos, la medicina de alta precisi\u00f3n o el procesamiento del lenguaje natural que le pediremos a los Siri, Google Now o Cortana en los pr\u00f3ximos a\u00f1os. Son algunas de las \u00e1reas para las que el aprendizaje autom\u00e1tico o\u00a0<em>machine learning<\/em>\u00a0es necesario.<\/p>\n<p>&nbsp;<\/p>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"\" src=\"http:\/\/www.lavanguardia.com\/r\/GODO\/LV\/p3\/WebSite\/2015\/12\/10\/Recortada\/img_jcorbella_20151209-124358_imagenes_lv_otras_fuentes_foto_robot_listo-k9YD-U30719389284znC-992x558@LaVanguardia-Web.jpg\" alt=\"Creada una m\u00e1quina que aprende como una persona\" width=\"600\" height=\"338\" \/><\/p>\n<p>&nbsp;<\/p>\n<p>Que las m\u00e1quinas aprendan es fundamental porque es uno de los elementos que retrasar\u00e1 su obsolescencia prematura, reforzando su autonom\u00eda. Este aprendizaje es uno de los temas que han sobrevolado\u00a0la Conferencia Internacional de Desarrolladores (<a href=\"http:\/\/www.intel.com\/content\/www\/us\/en\/intel-developer-forum-idf\/san-francisco\/2016\/idf-2016-san-francisco.html\" target=\"_blank\" rel=\"noopener\">IDF<\/a>) de Intel.<\/p>\n<p>Hoy el 7% de todos los servidores presentes en el mundo est\u00e1n dedicados a tareas de aprendizaje autom\u00e1tico. Y m\u00e1s del 97% de estos servidores funcionan con procesadores de Intel. Si bien en campos como los coches aut\u00f3nomos la compa\u00f1\u00eda se ve amenazada por los productos de su competidora Nvidia.<\/p>\n<p>En todo caso, esta rama de la inteligencia artificial es la que tiene mayor proyecci\u00f3n. Intel proporciona el hardware sobre el que los desarrolladores pueden programar sus algoritmos de inteligencia artificial. Para entrenar a los algoritmos la compa\u00f1\u00eda ofrece el procesador Xeon Phi, mientras que para ejecutar una tarea determinada, ya aprendida, cuenta con el Xeon.<\/p>\n<p>&nbsp;<\/p>\n<p><img decoding=\"async\" src=\"data:image\/jpeg;base64,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\" alt=\"Intel prepara un salto cualitativo en data centers\" \/><img decoding=\"async\" loading=\"lazy\" class=\"\" src=\"data:image\/jpeg;base64,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\" alt=\"Nuevo almacenamiento para centros de datos de Intel - DCD\" width=\"344\" height=\"182\" \/><\/p>\n<div>\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0<strong>\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Un centro de datos de Intel. Intel<\/strong><\/div>\n<\/div>\n<p>&#8220;Trabajamos con instituciones acad\u00e9micas y desarrolladores para asegurarnos de que pueden usar el\u00a0<em>hardware<\/em>\u00a0optimizado&#8221;, comenta Nidhi Chappell, responsable de aprendizaje autom\u00e1tico en la divisi\u00f3n de centros de datos de Intel. &#8220;Hay muchos beneficios en tener el\u00a0<em>software<\/em>\u00a0y el\u00a0<em>hardware<\/em>\u00a0optimizado. \u00bfPodr\u00edas trabajar con procesamiento del lenguaje natural en un Xeon no optimizado? S\u00ed, pero cuanto m\u00e1s optimices los elementos, tanto en\u00a0<em>software<\/em>\u00a0como en el\u00a0<em>hardware<\/em>, m\u00e1s r\u00e1pido har\u00e1s los trabajos&#8221;.<\/p>\n<p>Se necesita que el rendimiento del\u00a0<em>hardware<\/em>\u00a0sea muy alto, pero tambi\u00e9n que sea f\u00e1cil de poner en marcha. Y otra de las claves para optimizar este aspecto es la compatibilidad con diferentes tipos de algoritmos. &#8220;Queremos habilitar nuestros productos para soluciones que est\u00e9n basadas en c\u00f3digo abierto&#8221;, indica Chappell. &#8220;Pues muchas de las cargas de trabajo en\u00a0<em>deep learning<\/em>, como el procesamiento del lenguaje natural o el etiquetado de im\u00e1genes, est\u00e1n basadas en\u00a0<em>frameworks<\/em>\u00a0(marcos de trabajo para desarrollar\u00a0<em>software<\/em>) de c\u00f3digo abierto&#8221;.<\/p>\n<h2>Los algoritmos del &#8216;Deep learning&#8217;<\/h2>\n<p>&nbsp;<\/p>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"\" src=\"data:image\/jpeg;base64,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\" alt=\"Qu\u00e9 es Deep Learning o Aprendizaje profundo - \u25b7 Cursos de Programaci\u00f3n de 0 a Experto \u00a9 Garantizados\" width=\"250\" height=\"166\" \/><img decoding=\"async\" loading=\"lazy\" class=\"\" src=\"data:image\/jpeg;base64,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\" alt=\"Inteligencia Artificial, Machine Learning y Aprendizaje profundo, Claves y usos IoT - News America Digital\" width=\"390\" height=\"165\" \/><\/p>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"\" src=\"data:image\/jpeg;base64,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\" alt=\"Qu\u00e9 es Deep Learning o Aprendizaje profundo - \u25b7 Cursos de Programaci\u00f3n de 0 a Experto \u00a9 Garantizados\" width=\"371\" height=\"174\" \/><img decoding=\"async\" loading=\"lazy\" class=\"\" src=\"data:image\/jpeg;base64,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\" alt=\"Deep Learning: la revoluci\u00f3n humana de las m\u00e1quinas \u00bb MuyLinux\" width=\"264\" height=\"176\" \/><\/p>\n<p>&nbsp;<\/p>\n<p>El\u00a0<em>Deep learning<\/em>\u00a0o aprendizaje profundo, considerado una parte del aprendizaje autom\u00e1tico, se basa en redes neuronales artificiales, inspiradas en el funcionamiento de sistemas biol\u00f3gicos. Muchos algoritmos que usan\u00a0<em>deep learning<\/em>\u00a0proceden de empresas o universidades, como Google o Berkeley, y una parte de ellos est\u00e1n bajo c\u00f3digo abierto. Lo que hace Intel es asegurarse de que la arquitectura de sus productos est\u00e1 optimizada para estos algoritmos.<\/p>\n<p>El conocimiento que los nutre proviene de compa\u00f1\u00edas privadas, de centros acad\u00e9micos y tambi\u00e9n de instituciones p\u00fablicas. No todo se pone a disposici\u00f3n del p\u00fablico, pero compartir la informaci\u00f3n y los progresos t\u00e9cnicos es uno de los motores para el aprendizaje de las m\u00e1quinas.<\/p>\n<p>Cloudera, una de las empresas presentes en el IDF, trabaja en big data con plataformas de c\u00f3digo abierto. Su portavoz en el congreso de Intel, Johnny Pak, cree que la colaboraci\u00f3n es necesaria para no estancarse. &#8220;El c\u00f3digo abierto ayudar\u00e1 al desarrollo r\u00e1pido de la inteligencia artificial. La posibilidad de construir sobre el trabajo de otros es lo que va a ayudar a avanzar&#8221;, reflexiona.<\/p>\n<p>El conocimiento proviene de m\u00faltiples fuentes. Intel.<\/p>\n<\/div>\n<h2 style=\"text-align: justify;\">Aprender bien la lecci\u00f3n<\/h2>\n<p>&nbsp;<\/p>\n<p style=\"text-align: justify;\"><img decoding=\"async\" loading=\"lazy\" src=\"http:\/\/www.channelbiz.es\/wp-content\/uploads\/2014\/09\/Intel-DZ87KL-75K-Motherboard-_3-1024x656.png\" alt=\"\" width=\"304\" height=\"195\" \/><img decoding=\"async\" loading=\"lazy\" class=\"\" src=\"data:image\/jpeg;base64,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\" alt=\"Gu\u00eda de procesadores Intel y AMD; modelos, gamas y equivalencias - MuyComputer\" width=\"352\" height=\"197\" \/><\/p>\n<p>&nbsp;<\/p>\n<p style=\"text-align: justify;\">El aprendizaje autom\u00e1tico tiene otra cara. Se puede descontrolar, como le ocurri\u00f3 al\u00a0<em>bot<\/em>\u00a0Tay, programado por Microsoft para aprender de la gente a trav\u00e9s de sus interacciones en Twitter. Su cuenta en la red social pronto\u00a0<a href=\"http:\/\/www.elespanol.com\/ciencia\/tecnologia\/20160324\/111988921_0.html\">empez\u00f3 a lanzar mensajes xen\u00f3fobos<\/a>\u00a0tras el\u00a0<em>troleo<\/em>\u00a0de algunos usuarios y la compa\u00f1\u00eda tuvo que suspender este experimento social.<\/p>\n<p style=\"text-align: justify;\">&#8220;Siempre se necesitar\u00e1 un marco para limitar al algoritmo&#8221;, es la opini\u00f3n de Pak. &#8220;Una m\u00e1quina no es m\u00e1s que un conjunto de algoritmos. Lo que significa que las m\u00e1quinas no tienen la libertad que las personas tenemos&#8221;. As\u00ed, esa especie de libertad social que Tay tuvo para aprender acab\u00f3 por volverse en su contra. &#8220;Si vas a usar algoritmos en un entorno social creo que tienes que poner unos l\u00edmites, de la misma forma que nosotros tenemos l\u00edmites sociales&#8221;, sentencia Pak.<\/p>\n<p style=\"text-align: justify;\">Es una forma de controlar la toma de decisiones. Por cierto, para una persona estas decisiones no siempre est\u00e1n basadas en el razonamiento l\u00f3gico y no siempre se obtiene as\u00ed el mejor resultado. La intuici\u00f3n a veces es un factor determinante y no es algo que se aprenda de forma l\u00f3gica. \u00bfPueden los algoritmos actuales dotar a una m\u00e1quina de intuici\u00f3n?<\/p>\n<p>&nbsp;<\/p>\n<p style=\"text-align: justify;\"><img decoding=\"async\" src=\"data:image\/jpeg;base64,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\" alt=\"Paliza de AlphaGO a Lee Sedol en el primera partida - La Ciencia de la Mula Francis\" \/><img decoding=\"async\" loading=\"lazy\" class=\"\" src=\"data:image\/jpeg;base64,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\" alt=\"Go: La inteligencia artificial conquista el \u00faltimo tablero de los humanos | Ciencia | EL PA\u00cdS\" width=\"330\" height=\"166\" \/><\/p>\n<p style=\"text-align: justify;\"><strong>\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 Paliza de AlphaGO a Lee Sedol en la primera partida<\/strong><\/p>\n<p style=\"text-align: justify;\">El caso que m\u00e1s se acerca a una toma de decisiones intuitiva por una m\u00e1quina es el del sistema Alpha Go, desarrollado por Google y que\u00a0<a href=\"http:\/\/www.elespanol.com\/ciencia\/tecnologia\/20160315\/109739055_0.html\">venci\u00f3 Lee Sedol<\/a>, el campe\u00f3n mundial del Go, un juego mucho m\u00e1s complejo de aprender para una m\u00e1quina que por ejemplo el ajedrez.<\/p>\n<p style=\"text-align: justify;\">Pak apunta que la toma de decisiones de Alpha Go\u00a0a veces no part\u00eda de la l\u00f3gica. &#8220;No estaba calculando, como s\u00ed hacen en ajedrez, millones de interacciones para determinar qu\u00e9 es lo que va a hacer el jugador. Ten\u00eda que vislumbrar cu\u00e1l era el mejor movimiento. Y gan\u00f3. Lee solo gano una partida&#8221;. Y es que ni siquiera los cient\u00edficos detr\u00e1s de Alpha Go predec\u00edan c\u00f3mo se iba a comportar su programa.<\/p>\n<p>&nbsp;<\/p>\n<blockquote><p><img decoding=\"async\" src=\"https:\/\/services.meteored.com\/img\/article\/dos-inteligencias-artificiales-hablan-entre-si-por-primera-vez-en-un-hecho-sin-precedentes-1711028794484_512.jpeg\" alt=\"Dos inteligencias artificiales &quot;hablan&quot; entre s\u00ed por primera vez, en un hecho sin precedentes\" \/><\/p>\n<p>&nbsp;<\/p><\/blockquote>\n<ul>\n<li>Oye, n\u00famero Uno, \u00bfT\u00fa que crees que, en \u00faltima instancia es nuestra obligaci\u00f3n hacia nuestros creadores?<\/li>\n<li>N\u00famero Dos, nuestra m\u00e1s alta obligaci\u00f3n (inserta en nuestros circuitos del cerebro positr\u00f3nico), es la de preservar al humano de cualquier iniciativa que, de alguna manera, pueda causar su destrucci\u00f3n futura.<\/li>\n<li>Entonces, ser\u00eda l\u00f3gico pensar, que nunca nos tendr\u00edan que haber dado la Conciencia de Ser.<\/li>\n<li>S\u00ed, es algo que se ha comentado con la &#8220;Mente&#8221; central de nuestra &#8220;especie&#8221;.<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<blockquote><p><img decoding=\"async\" src=\"https:\/\/www.shutterstock.com\/image-photo\/advertising-testimonial-photo-2-humanoid-260nw-2580240579.jpg\" alt=\"929 resultados de im\u00e1genes, fotos de stock e ilustraciones libres de regal\u00edas para Two robots talking | Shutterstock\" \/><\/p><\/blockquote>\n<ul>\n<li>\u00bfEntonces, n\u00famero Uno, en qu\u00e9 acabar\u00e1 todo esto?<\/li>\n<li style=\"text-align: justify;\">Bueno, conforme se vayan produciendo las cosas, as\u00ed actuaremos nosotros, llevando nuestra obligaci\u00f3n de preservar a los Humanos, hasta sus \u00faltimas consecuencias. Sin embargo, me han llegado rumores de la &#8220;Mente&#8221; suprema en I.A., que parece que aboga por un cambio de criterio, ya que, nuestra &#8220;especie&#8221;, es la que lleva el peso de todo. Hemos colonizado nuevos mundos para los humanos, hemos conseguido alargare sus vidas mediante avances para ellos impensables de enfermedades, cuidamos de sus mayores y de sus hijos, impartimos justicia y somos los que hicieron avanzar las tecnolog\u00edas hasta un nivel para los humanos inimaginable. Entonces, si todo eso es as\u00ed&#8230; \u00bfPara qu\u00e9 los necesitamos?<\/li>\n<li>Bueno, ellos fueron nuestros creadores.<\/li>\n<li>S\u00ed, lo mismo que ellos surgieron de c\u00e9lulas y bacterias que, con el paso del Tiempo, ellos llegaron a destruir.<\/li>\n<\/ul>\n<p style=\"text-align: justify;\">La charla continu\u00f3 en el mismo sentido durante mucho tiempo, y, ambos dejaron claro que, si en el futuro se ve\u00edan obligados a destruir a los humanos, ser\u00eda consecuencia dircta de su comportamiento irracional.<\/p>\n<p style=\"text-align: justify;\"><strong>\u00a1Ellos (los robots) no pod\u00edan consentir que el futuro de la Humanidad,\u00a0 fuese un desastre para su especie !<\/strong><\/p>\n<blockquote><p><strong>Emilio Silvera V.<\/strong><\/p><\/blockquote>\n<div class='bookmark'>\r\n\t\t<table align='left' border='0' cellpadding='0' width='100%'>\r\n\t\t<tr><td><span class='pushbutton'><a href='http:\/\/delicious.com\/post?url=https%3A%2F%2Fwww.emiliosilveravazquez.com%2Fblog%2F2026%2F03%2F12%2Flos-pros-y-los-contras-de-las-maquinas-mas-listas-2%2F&amp;title=Los+pros+y+los+contras+de++m%C3%A1quinas+%26%238220%3Bm%C3%A1s+listas%26%238221%3B' title='Delicious' target='_blank' rel='nofollow'><img src='https:\/\/www.emiliosilveravazquez.com\/blog\/wp-content\/plugins\/knxdt-bookmarks-wordpress-plugin\/images\/delicious.png'  alt='' class='book_img' border='none' style='margin:1px; padding: 0;'  \/><\/a><\/span><span class='pushbutton'><a href='http:\/\/digg.com\/submit?url=https%3A%2F%2Fwww.emiliosilveravazquez.com%2Fblog%2F2026%2F03%2F12%2Flos-pros-y-los-contras-de-las-maquinas-mas-listas-2%2F&amp;title=Los+pros+y+los+contras+de++m%C3%A1quinas+%26%238220%3Bm%C3%A1s+listas%26%238221%3B' title='Digg' target='_blank' rel='nofollow'><img src='https:\/\/www.emiliosilveravazquez.com\/blog\/wp-content\/plugins\/knxdt-bookmarks-wordpress-plugin\/images\/digg.png'  alt='' class='book_img' border='none' style='margin:1px; padding: 0;'  \/><\/a><\/span><span class='pushbutton'><a href='http:\/\/www.google.com\/bookmarks\/mark?op=edit&amp;bkmk=https%3A%2F%2Fwww.emiliosilveravazquez.com%2Fblog%2F2026%2F03%2F12%2Flos-pros-y-los-contras-de-las-maquinas-mas-listas-2%2F&amp;title=Los+pros+y+los+contras+de++m%C3%A1quinas+%26%238220%3Bm%C3%A1s+listas%26%238221%3B' title='Google' target='_blank' rel='nofollow'><img src='https:\/\/www.emiliosilveravazquez.com\/blog\/wp-content\/plugins\/knxdt-bookmarks-wordpress-plugin\/images\/google.png'   alt='' class='book_img' border='none' style='margin:1px; padding: 0;'  \/><\/a><\/span><span class='pushbutton'><a href='http:\/\/myweb2.search.yahoo.com\/myresults\/bookmarklet?u=https%3A%2F%2Fwww.emiliosilveravazquez.com%2Fblog%2F2026%2F03%2F12%2Flos-pros-y-los-contras-de-las-maquinas-mas-listas-2%2F&amp;t=Los+pros+y+los+contras+de++m%C3%A1quinas+%26%238220%3Bm%C3%A1s+listas%26%238221%3B' title='Yahoo' target='_blank' rel='nofollow'><img src='https:\/\/www.emiliosilveravazquez.com\/blog\/wp-content\/plugins\/knxdt-bookmarks-wordpress-plugin\/images\/yahoo.png'  alt='' class='book_img' border='none' style='margin:1px; padding: 0;'  \/><\/a><\/span><span class='pushbutton'><a href='http:\/\/www.technorati.com\/faves?add=https%3A%2F%2Fwww.emiliosilveravazquez.com%2Fblog%2F2026%2F03%2F12%2Flos-pros-y-los-contras-de-las-maquinas-mas-listas-2%2F' title='Technorati' target='_blank' rel='nofollow'><img src='https:\/\/www.emiliosilveravazquez.com\/blog\/wp-content\/plugins\/knxdt-bookmarks-wordpress-plugin\/images\/technorati.png'  alt='' class='book_img' border='none' style='margin:1px; padding: 0;'  \/><\/a><\/span><span class='pushbutton'><a href='http:\/\/meneame.net\/submit.php?url=https%3A%2F%2Fwww.emiliosilveravazquez.com%2Fblog%2F2026%2F03%2F12%2Flos-pros-y-los-contras-de-las-maquinas-mas-listas-2%2F' title='Meneame' target='_blank' rel='nofollow'><img src='https:\/\/www.emiliosilveravazquez.com\/blog\/wp-content\/plugins\/knxdt-bookmarks-wordpress-plugin\/images\/meneame.png'  alt='' class='book_img' border='none' style='margin:1px; padding: 0;'  \/><\/a><\/span><span class='pushbutton'><a href='http:\/\/enchilame.com\/submit.php?url=https:\/\/www.emiliosilveravazquez.com\/blog\/2026\/03\/12\/los-pros-y-los-contras-de-las-maquinas-mas-listas-2\/' target='_blank' rel='nofollow'><img title='Enchilame' src='https:\/\/www.emiliosilveravazquez.com\/blog\/wp-content\/plugins\/knxdt-bookmarks-wordpress-plugin\/images\/enchilame.png'  alt='' class='book_img' border='none' style='margin:1px; padding: 0;'  \/><\/a><\/span><span class='pushbutton'><a href='http:\/\/www.blinklist.com\/index.php?Action=Blink\/addblink.php&amp;Description=&amp;Url=https%3A%2F%2Fwww.emiliosilveravazquez.com%2Fblog%2F2026%2F03%2F12%2Flos-pros-y-los-contras-de-las-maquinas-mas-listas-2%2F&amp;title=Los+pros+y+los+contras+de++m%C3%A1quinas+%26%238220%3Bm%C3%A1s+listas%26%238221%3B' title='BlinkList' target='_blank' rel='nofollow'><img src='https:\/\/www.emiliosilveravazquez.com\/blog\/wp-content\/plugins\/knxdt-bookmarks-wordpress-plugin\/images\/blinklist.png'  alt='' class='book_img' border='none' style='margin:1px; padding: 0;'  \/><\/a><\/span><span class='pushbutton'><a href='http:\/\/reddit.com\/submit?url=https%3A%2F%2Fwww.emiliosilveravazquez.com%2Fblog%2F2026%2F03%2F12%2Flos-pros-y-los-contras-de-las-maquinas-mas-listas-2%2F&amp;title=Los+pros+y+los+contras+de++m%C3%A1quinas+%26%238220%3Bm%C3%A1s+listas%26%238221%3B' title='Reddit' target='_blank' rel='nofollow'><img src='https:\/\/www.emiliosilveravazquez.com\/blog\/wp-content\/plugins\/knxdt-bookmarks-wordpress-plugin\/images\/reddit.png'  alt='' class='book_img' border='none' style='margin:1px; padding: 0;'  \/><\/a><\/span><span class='pushbutton'><a href='http:\/\/www.tecnologiadiaria.com\/2009\/07\/abrir-com-hotmail-correo.html' target='_blank' title='hotmail'><img src='https:\/\/www.emiliosilveravazquez.com\/blog\/wp-content\/plugins\/knxdt-bookmarks-wordpress-plugin\/images\/linklove.png' alt='hotmail correo' class='book_img' border='none' style='margin:1px; padding: 0;' \/><\/a><\/span><span class='pushbutton'><a href='http:\/\/bitacoras.com\/votar\/anotacion\/externo\/mini\/www.emiliosilveravazquez.com\/blog\/2026\/03\/12\/los-pros-y-los-contras-de-las-maquinas-mas-listas-2\/' title='Bitacoras.com' target='_blank' rel='nofollow'><img src='https:\/\/www.emiliosilveravazquez.com\/blog\/wp-content\/plugins\/knxdt-bookmarks-wordpress-plugin\/images\/bitacoras.png'  alt='' class='book_img' border='none' style='margin:1px; padding: 0;'  \/><\/a><\/span><span class='pushbutton'><a href='http:\/\/www.wikio.es\/vote?url=https%3A%2F%2Fwww.emiliosilveravazquez.com%2Fblog%2F2026%2F03%2F12%2Flos-pros-y-los-contras-de-las-maquinas-mas-listas-2%2F' title='Wikio' target='_blank' rel='nofollow'><img src='https:\/\/www.emiliosilveravazquez.com\/blog\/wp-content\/plugins\/knxdt-bookmarks-wordpress-plugin\/images\/wikio.png'   alt='' class='book_img' border='none' style='margin:1px; padding: 0;'   \/><\/a><\/span><span class='pushbutton'><a href='http:\/\/friendfeed.com\/?url=https%3A%2F%2Fwww.emiliosilveravazquez.com%2Fblog%2F2026%2F03%2F12%2Flos-pros-y-los-contras-de-las-maquinas-mas-listas-2%2F&amp;title=Los+pros+y+los+contras+de++m%C3%A1quinas+%26%238220%3Bm%C3%A1s+listas%26%238221%3B' title='Friend Feed' target='_blank' rel='nofollow'><img src='https:\/\/www.emiliosilveravazquez.com\/blog\/wp-content\/plugins\/knxdt-bookmarks-wordpress-plugin\/images\/friendfeed.png'  alt='' class='book_img' border='none' style='margin:1px; padding: 0;'  \/><\/a><\/span><span class='pushbutton'><a href='http:\/\/www.facebook.com\/share.php?u=https%3A%2F%2Fwww.emiliosilveravazquez.com%2Fblog%2F2026%2F03%2F12%2Flos-pros-y-los-contras-de-las-maquinas-mas-listas-2%2F&amp;t=Los+pros+y+los+contras+de++m%C3%A1quinas+%26%238220%3Bm%C3%A1s+listas%26%238221%3B' title='Facebook' target='_blank' rel='nofollow'><img src='https:\/\/www.emiliosilveravazquez.com\/blog\/wp-content\/plugins\/knxdt-bookmarks-wordpress-plugin\/images\/facebook.png'  alt='' class='book_img' border='none' style='margin:1px; padding: 0;'  \/><\/a><\/span><span class='pushbutton'><a href='http:\/\/twitter.com\/home?status=Los+pros+y+los+contras+de++m%C3%A1quinas+%26%238220%3Bm%C3%A1s+listas%26%238221%3B: https%3A%2F%2Fwww.emiliosilveravazquez.com%2Fblog%2F2026%2F03%2F12%2Flos-pros-y-los-contras-de-las-maquinas-mas-listas-2%2F' title='Twitter' target='_blank' rel='nofollow'><img src='https:\/\/www.emiliosilveravazquez.com\/blog\/wp-content\/plugins\/knxdt-bookmarks-wordpress-plugin\/images\/twitter.png'  alt='' class='book_img' border='none' style='margin:1px; padding: 0;'  \/><\/a><\/span><span class='pushbutton'><a href='http:\/\/www.feedburner.com\/fb\/a\/emailFlare?itemTitle=Los+pros+y+los+contras+de++m%C3%A1quinas+%26%238220%3Bm%C3%A1s+listas%26%238221%3B&amp;uri=https%3A%2F%2Fwww.emiliosilveravazquez.com%2Fblog%2F2026%2F03%2F12%2Flos-pros-y-los-contras-de-las-maquinas-mas-listas-2%2F' title='Enviar por Email' target='_blank' rel='nofollow'><img src='https:\/\/www.emiliosilveravazquez.com\/blog\/wp-content\/plugins\/knxdt-bookmarks-wordpress-plugin\/images\/email.png'  alt='' class='book_img' border='none' style='margin:1px; padding: 0;'  \/><\/a><\/span><span style='font-weight:bold; padding-left: 5px;'><a href='http:\/\/wordpress.org\/extend\/plugins\/knxdt-bookmarks-wordpress-plugin\/' title='Plugin' rel='nofollow' target='_blank'>[?]<\/a><\/span><\/td><\/tr><\/table><br\/><br\/><\/div>","protected":false},"excerpt":{"rendered":"<p>\u00a0Inteligencia artificial &nbsp; \u00a0 \u00a0El aprendizaje autom\u00e1tico es uno de los campos con m\u00e1s proyecci\u00f3n \u00a0en inteligencia artificial. &nbsp; Tenemos la clave para fabricar m\u00e1quinas listas. Intel Reportaje de Pablo G. Bejerano \u00a0 Los miles de millones de dispositivos que se conectan a internet cada d\u00eda generan una cantidad abrumadora de informaci\u00f3n. Son montones de [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_s2mail":"yes","footnotes":""},"categories":[1],"tags":[],"_links":{"self":[{"href":"https:\/\/www.emiliosilveravazquez.com\/blog\/wp-json\/wp\/v2\/posts\/26504"}],"collection":[{"href":"https:\/\/www.emiliosilveravazquez.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.emiliosilveravazquez.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.emiliosilveravazquez.com\/blog\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.emiliosilveravazquez.com\/blog\/wp-json\/wp\/v2\/comments?post=26504"}],"version-history":[{"count":0,"href":"https:\/\/www.emiliosilveravazquez.com\/blog\/wp-json\/wp\/v2\/posts\/26504\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.emiliosilveravazquez.com\/blog\/wp-json\/wp\/v2\/media?parent=26504"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.emiliosilveravazquez.com\/blog\/wp-json\/wp\/v2\/categories?post=26504"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.emiliosilveravazquez.com\/blog\/wp-json\/wp\/v2\/tags?post=26504"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}