{"id":37654,"date":"2016-03-31T09:32:29","date_gmt":"2016-03-31T15:32:29","guid":{"rendered":"http:\/\/webirix.com\/?p=37654"},"modified":"2016-03-31T09:32:29","modified_gmt":"2016-03-31T15:32:29","slug":"como-la-llegada-del-hombre-a-la-luna-inspiro-la-idea-del-cerebro-de-google","status":"publish","type":"post","link":"https:\/\/webirix.com\/en\/como-la-llegada-del-hombre-a-la-luna-inspiro-la-idea-del-cerebro-de-google\/","title":{"rendered":"How did the arrival of the man in the Moon inspired the idea of the brain of Google?"},"content":{"rendered":"

\"Rostro<\/p>\n

Quoc Le lived in a small town in Vietnam without electricity.<\/p>\n

Ese dato de la vida de Le suele asombrar, sobre todo porque \u00e9l es el l\u00edder del equipo “Cerebro de Google”, responsable de dise\u00f1ar la inteligencia artificial que hoy supports the work of millions of people in the world<\/strong>.<\/p>\n

At 32, one of Le's main responsibilities at Google is to develop a neuralgic network in computers like that of human beings, or at least simulate it.<\/p>\n

Is about build an artificial brain<\/strong>. But it is possible?<\/p>\n

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 <\/p>\n

The origin<\/h2>\n

Puede que la primera idea de Le no fuera una m\u00e1quina con parecido humano y pensamiento propio. Sin embargo, el concepto de “inteligencia” siempre estuvo en la mente de Le desde su ni\u00f1ez.<\/p>\n

He humbly recalls the small technological advances seen in his hometown of Thuy Dong: the first television, the first car he saw by, the first rice cooker his family bought.<\/p>\n

“En aquel momento, cada uno de esos eventos en los que la tecnolog\u00eda se introduc\u00eda en nuestro ambiente produc\u00edan un cambio repentino en nuestra vida”, rememora Le.<\/p>\n

Nevertheless, it was a photo of the moon landing in 1969 that inspired him to become a pioneer in artificial intelligence<\/strong>.<\/p>\n

“Me pregunt\u00e9: no somos los animales m\u00e1s r\u00e1pidos de la Tierra, ni siquiera podemos volar, pero logramos llegar a la Luna. \u00bfCu\u00e1l es la \u00fanica caracter\u00edstica que nosotros tenemos y que no tienen los animales?”.<\/p>\n

\"Quoc<\/p>\n

 <\/p>\n

“Entonces me di cuenta que todo se deb\u00eda a nuestro cerebro. Su inteligencia”.<\/p>\n

At that time he assumed that intelligent machines were trivial, then he would understand that they were not.<\/p>\n

“Decid\u00ed que construir\u00eda una”, recuerda con una sonrisa en los labios.<\/p>\n

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 <\/p>\n

The investigation<\/h2>\n

He began researching artificial intelligence while studying at university in Australia and later during his PhD at Stanford University in the USA.<\/p>\n

\"\"<\/p>\n

He was frustrated because the software of that time required a significant degree of human participation<\/strong>.<\/p>\n

“Las m\u00e1quinas que describ\u00edamos como inteligentes requer\u00edan que pas\u00e1ramos mucho tiempo codificando decisiones para que el software funcionara. I wanted everything to be automatic<\/strong>“, afirma.<\/p>\n

So he started working on a program that would allow the machine to think for itself.<\/p>\n

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 <\/p>\n

Deep learning<\/h2>\n

The next step was to enter the field of deep learning, an attempt to make machines learn based on a group of algorithms<\/strong>.<\/p>\n

It was already a developing field when it came to him, but he wanted the advancement to be faster thanks to the large-scale construction of a nerve system capable of processing a greater volume of data.<\/p>\n

\"Imagen<\/p>\n

 <\/p>\n

Una de esas neuronas artificiales -como la describe Le- reaccion\u00f3 “muy feliz” de ver la foto de un gato sin siquiera decirle qu\u00e9 era un gato o sin que se le proporcionaran, con anterioridad, im\u00e1genes etiquetadas como “gato”.<\/p>\n

Definitely it was an extraordinary advance<\/strong>, by showing that machines could learn at a very high level of precision, without the continuous human participation supplying information.<\/p>\n