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Replika. A Neural Conversational Model Google. Robo Brain. Noam Chomsky on Where Artificial Intelligence Went Wrong. An extended conversation with the legendary linguist Graham Gordon Ramsay If one were to rank a list of civilization's greatest and most elusive intellectual challenges, the problem of "decoding" ourselves -- understanding the inner workings of our minds and our brains, and how the architecture of these elements is encoded in our genome -- would surely be at the top.

Noam Chomsky on Where Artificial Intelligence Went Wrong

Yet the diverse fields that took on this challenge, from philosophy and psychology to computer science and neuroscience, have been fraught with disagreement about the right approach. In 1956, the computer scientist John McCarthy coined the term "Artificial Intelligence" (AI) to describe the study of intelligence by implementing its essential features on a computer. Instantiating an intelligent system using man-made hardware, rather than our own "biological hardware" of cells and tissues, would show ultimate understanding, and have obvious practical applications in the creation of intelligent devices or even robots.

Inteligencia Artificial: Ramon Llull y el Ars Magna. AI designs its own video game - tech - 07 March 2012. Video games designed almost entirely by a computer program herald a new wave of AI creativity Read more: "Better living through video gaming" Have a go at the game designed especially for New Scientist by the AI Angelina: "Space Station Invaders" IT IS never going to compete with the latest iteration of Call of Duty, but then Space Station Invaders is not your typical blockbuster video game.

AI designs its own video game - tech - 07 March 2012

While modern shooters involve hundreds of programmers and cost millions of dollars, this new game is the handiwork of an AI called Angelina. Home. Humanoid Robot Learns Language Like a Baby. With the help of human instructors, a robot has learned to talk like a human infant, learning the names of simple shapes and colors.

Humanoid Robot Learns Language Like a Baby

“Our work focuses on early stages analogous to some characteristics of a human child of about 6 to 14 months, the transition from babbling to first word forms,” wrote computer scientists led by Caroline Lyon of the University of Hertfordshire in a June 13 Public Library of Science One study. Named DeeChee, the robot is an iCub, a three-foot-tall open source humanoid machine designed to resemble a baby. The similarity isn’t merely aesthetic, but has functional purpose: Many researchers think certain cognitive processes are shaped by the bodies in which they occur. Are You Chatting With a Human or a Computer? One Per Cent: Bot with boyish personality wins biggest Turing test. Celeste Biever, deputy news editor Eugene Goostman, a chatbot with the personality of a 13-year-old boy, won the biggest Turing test ever staged, on 23 June, the 100th anniversary of the birth of Alan Turing.

One Per Cent: Bot with boyish personality wins biggest Turing test

Google scientists find evidence of machine learning. Google scientists working in the company's secretive X Labs have made great strides in using computers to simulate the human brain.

Google scientists find evidence of machine learning

Best known for inventing self-driving cars and augmented-reality eyewear, the lab created a neural network for machine learning by connecting 16,000 computer processors and then unleashed it on the Internet. Along the way, the network taught itself to recognize cats. While the act of finding cats on the Internet doesn't sound all that challenging, the network's performance exceeded researchers' expectations, doubling its accuracy rate in identifying objects from a list of 20,000 items, according to a New York Times report. To find the cats, the team fed the network thumbnail images chosen at random from more than 10 billion YouTube videos. The results appeared to support biologists' theories that suggest that neurons in the brain are trained to identify specific objects.

Using large-scale brain simulations for machine learning and A.I. You probably use machine learning technology dozens of times a day without knowing it—it’s a way of training computers on real-world data, and it enables high-quality speech recognition, practical computer vision, email spam blocking and even self-driving cars.

Using large-scale brain simulations for machine learning and A.I.

But it’s far from perfect—you’ve probably chuckled at poorly transcribed text, a bad translation or a misidentified image. We believe machine learning could be far more accurate, and that smarter computers could make everyday tasks much easier. So our research team has been working on some new approaches to large-scale machine learning. Today’s machine learning technology takes significant work to adapt to new uses.

What is AI? Part 13. By Jack Copeland © Copyright B.J.

What is AI? Part 13

Copeland, May 2000. Virtual robot links body to numbers just like humans - tech - 11 November 2011. Video: See a virtual robot mimic a human baby A virtual robot has acquired a cognitive wrinkle common in people – further evidence that computers need bodies if they're ever going to think like us Read more: "Squishybots: Soft, bendy and smarter than ever ONE of the many curious habits of the human brain is that we tend to associate small numbers with the left side of our body and large numbers with our right.

Virtual robot links body to numbers just like humans - tech - 11 November 2011

Do thoughts have a language of their own? - opinion - 08 December 2011. Read full article Continue reading page |1|2 What is the relationship between language and thought?

Do thoughts have a language of their own? - opinion - 08 December 2011

The quest to create artificial intelligence may have come up with some unexpected answers THE idea of machines that think and act as intelligently as humans can generate strong emotions. This may explain why one of the most important accomplishments in the field of artificial intelligence has gone largely unnoticed: that some of the advances in AI can be used by ordinary people to improve their own natural intelligence and communication skills. Tech in a Minute: Can machines ever be intelligent? Sandrine Ceurstemont, editor, New Scientist TV Machines may be capable of impressive feats, but can they ever be truly intelligent?

Tech in a Minute: Can machines ever be intelligent?

In this animation produced by The Open University, we follow a famous thought experiment proposed by philosopher John Searle that challenges the notion of strong AI - that a machine can ever successfully perform an intellectual task as well as a human. Today, people use computers to improve their own intelligence and communication skills, putting into question the relationship between language and thought. I, Robopsychologist, Part 1: Why Robots Need Psychologists. Andrea Kuszewski is a behavior therapist and consultant, science writer, and robopsychologist at Syntience in San Francisco.

She is interested in creativity, intelligence, and learning, in both humans and machines. Find her on Twitter a @AndreaKuszewski. “My brain is not like a computer.” The day those words were spoken to me marked a significant milestone for both me and the 6-year-old who uttered them. I, Robopsychologist, Part 2: Where Human Brains Far Surpass Computers. Andrea Kuszewski is a behavior therapist and consultant, science writer, and robopsychologist at Syntience in San Francisco. She is interested in creativity, intelligence, and learning, in both humans and machines. Find her on Twitter at @AndreaKuszewski. A computer chip that emulates the human brain - and might one day replace it.

The Little Thoughts of Thinking Machines. Next: About this document John McCarthy Computer Science Department Stanford University Stanford, CA 94305 jmc@cs.stanford.edu When we interact with computers and other machines, we often use language ordinarily used for talking about people. We may say of a vending machine, `It wants another ten cents for a lousy candy bar.' We may say of an automatic teller machine, `It thinks I don't have enough money in my account because it doesn't yet know about the deposit I made this morning.' This article is about when we're right or almost right in saying these things, and when it's a good idea to think of machines that way.

For more than a century we have used machines in our daily lives whose detailed functioning most of us don't understand. In the next century we'll be increasingly faced with much more complex computer based systems. A conversation between Siri and a Furby is like listening to HAL 9000 break wind. One word: batteries. —this space intentionally left blank I was ten, and I either didn't think about that or they made the battery case impossible to find. I seem to recall it being the latter, as I'm sure it occurred to me to just take the damn batteries out. Also, I feel the need to rationalize the fact that I had a Furby when I was ten— my little sister wanted one for Christmas that year, and my parents subscribed to the school of "if one kid gets it, the other has to get it too or they'll bitch about it forever.

" Never mind that I was, you know, ten. The Furby eventually expired when my mother, in a fit of pique at its neverending "OOH-AHH"s, grabbed it and kicked it across the room. How the Cleverbot Computer Chats Like a Human. Last week, an artificial intelligence computer named Cleverbot stunned the world with a stellar performance on the Turing Test — an IQ test of sorts for "chatbots," or conversational robots. Cleverbot, it seems, can carry on a conversation as well as any human can. In the Turing Test — conceived by British computer scientist Alan Turing in the 1950s — chatbots engage in typed conversations with humans, and try to fool them into thinking they're humans, too. (As a control, some users unknowingly chat with humans pretending to be chatbots.) At a recent Turing competition, Cleverbot fooled 59 percent of its human interlocutors into thinking it was itself a human. Analysts have argued that, because the chatbot's success rate was better than chance, the computer passed.

So what magnificent algorithm lies in the gearbox of this brilliant machine, which can seem more human than not? The answer is very simple: crowdsourcing. Terry Winograd. Murió John McCarthy, pionero que acuñó el término “inteligencia artificial” P. Inteligencia Artificial: 5 inquietantes robots de aspecto humano. Inteligencia Artificial: Kilobots, un ejército de robots programables. Inteligencia Artificial: Arquitectura automática. Si nos ponemos reduccionistas, la inteligencia artificial puede considerarse como un montón de algoritmos especializados en la creación de máquinas inteligentes (lo que sea que "inteligencia" signifique).

Y un algoritmo no es más que matemática pura. MIT diseña un chip que funciona como las neuronas cerebrales. Inteligencia Artificial: John von Neumann y el nacimiento de la vida artificial. Dicen que los húngaros vienen de Marte, por lo menos eso parece en el caso del genio de personas como John von Neumann. Inteligencia Artificial: 10 lecturas imprescindibles. Inteligencia Artificial: 10 sorprendentes avances de 2011. Inteligencia Artificial: Eliza y las conversaciones con una máquina. Siri, el asistente virtual del iPhone 4S, es una de las novedades que más me han llamado la atención porque supone un salto en el control vocal de dispositivos puesto que pasamos de usar comandos de voz a conversar con nuestro dispositivo. El hecho de poder conversar con una máquina de manera coherente no es algo nuevo, existen asistentes virtuales en algunas webs en las que podemos realizar preguntas en lenguaje natural y obtener respuestas coherentes; de hecho, fue en 1964 cuando Joseph Weizenbaum desarrolló Eliza, un programa que era capaz de conversar con una persona.

Eliza, que ya conversó con Siri, es un software diseñado entre 1964 y 1967 en el MIT por Joseph Weizenbaum que procesaba el lenguaje natural que le llegaba como entrada y, como salida, ofrecía respuestas como si de una conversación entre dos personas se tratase. Inteligencia Artificial: un futuro marcado por la interpretación de imágenes. Developing artificial intelligence systems that can interpret images. Will You Live Forever—or until Your Next Software Release—by Uploading Your Brain into a Computer? Siri en terapia con ELIZA. From Eliza to A.L.I.C.E. (A.L.I.C.E. AI Foundation)