Artificial-intelligence (AI) research is now progressing rapidly. Recent landmarks such as self-driving cars, a computer winning at Jeopardy! and the digital personal assistants Siri, Google Now and Cortana are merely symptoms of an IT arms race fuelled by unprecedented investments and building on an increasingly mature theoretical foundation. Such achievements will probably pale against what the coming decades will bring.

The potential benefits are huge; everything that civilisation has to offer is a product of human intelligence; we cannot predict what we might achieve when this intelligence is magnified by the tools that AI may provide, but the eradication of war, disease, and poverty would be high on anyone’s list. Success in creating AI would be the biggest event in human history.

A.I. could be our ‘worst mistake in human history’

Unfortunately, it might also be the last, unless we learn how to avoid the risks. In the near term, world militaries are considering autonomous-weapon systems that can choose and eliminate targets; the UN and Human Rights Watch have advocated a treaty banning such weapons. In the medium term, as emphasised by Erik Brynjolfsson and Andrew McAfee in The Second Machine Age, AI may transform our economy to bring both great wealth and great dislocation.

Looking further ahead, there are no fundamental limits to what can be achieved: there is no physical law precluding particles from being organised in ways that perform even more advanced computations than the arrangements of particles in human brains. An explosive transition is possible, although it might play out differently from in the movie: as Irving Good realised in 1965, machines with superhuman intelligence could repeatedly improve their design even further, triggering what Vernor Vinge called a “singularity” and Johnny Depp’s movie character calls “transcendence”.

One can imagine such technology outsmarting financial markets, out-inventing human researchers, out-manipulating human leaders, and developing weapons we cannot even understand. Whereas the short-term impact of AI depends on who controls it, the long-term impact depends on whether it can be controlled at all...

http://ind.pn/1huRYoW

 

Baby Robot

With the help of human instructors, a robot has learned to talk like a human infant, learning the names of simple shapes and colors.

“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….

http://bit.ly/LgHFIR 

Baby Robot

Traduciendo a Melvin

Mr. Melvin Green es un helecho que habla. Lleva tres semanas diciendo lo que siente y contestando a las preguntas que le hacen. Su idioma es el inglés y todas sus conversaciones transcurren a través de su web y Twitter. Tiene tres estados de ánimo (feliz, triste y enfadado) y dedica unas horas al día a dormir y hablar en sueños (de 5.00 a 5.30 pm y durante la noche)…

Créditos:
Cliente: treeloc
Web: http://www.treeloc.com/
Creatividad y diseño: Hommu Studio
Web: http://studio.hommu.com
Copywriter: Irene Vidal
Programación: miaumiau interactive studio
Construcción instalación Melvin: Estel Ferrer
Vídeo: Go Films

http://www.translatingmelvin.com

Are you a machine?

El Test de Turing (o Prueba de Turing) es una prueba propuesta por Alan Turing para demostrar la existencia de inteligencia en una máquina. Fue expuesto en 1950 en un artículo (Computing machinery and intelligence) para la revista Mind, y sigue siendo uno de los mejores métodos para los defensores de la Inteligencia Artificial.

La prueba consiste en un desafío. Se supone un juez situado en una habitación, y una máquina y un ser humano en otras. El juez debe descubrir cuál es el ser humano y cuál es la máquina. Todavía ninguna máquina puede pasar este examen…

La versión on-line puede hacerse aquí – http://bit.ly/rbJvkV

Are you a machine?