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The Next Big Thing You Missed: The Quest to Give Computers the Power of #Imagination | WIRED | #AI #Vicarious

The Next Big Thing You Missed: The Quest to Give Computers the Power of #Imagination | WIRED | #AI #Vicarious | e-Xploration | Scoop.it
Vicarious wants to make artificial intelligence infinitely more intelligent. Here's why tech giants like Mark Zuckerberg and Jeff Bezos have given the startup millions of dollars to do it.

Via Spaceweaver
luiy's insight:

Imagine you want to teach a child the meaning of the word “table.” You’d probably point to a few examples in your home–a round wooden kitchen table, a square plastic kiddie table, a massive rectangular dining room table. “This is a table,” you’d say, three or four times, and after a while, the child would start identifying other tables, regardless of their shape, size, or color.

 

If you want to teach a modern computer the meaning of the word table, the process isn’t much different–except that you can’t stop at three or four examples. When dealing with a machine, you have to show it millions of tables before it can accurately identify a table on its own. This typically is called artificial intelligence, but D. Scott Phoenix doesn’t see it that way. “It’s actually pretty dumb,” says Phoenix, the founder of the three-year-old Silicon Valley startup Vicarious. Intelligence, he explains, is “being able to deduce something from very few examples.”

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Google's Grand Plan to Make Your Brain Irrelevant | #algorithms

Google's Grand Plan to Make Your Brain Irrelevant | #algorithms | e-Xploration | Scoop.it
Google is on a shopping spree. But instead of a shopping cart filled with gadgets or groceries, its aggressive buy-up of robotics, smart device, and artificial intelligence startups is Google's way of assembling the pieces and people it needs to...
luiy's insight:

Basically, the idea is to mimic the biological structure of the human brain with software so that it can build machines that learn “organically” — that is, without human involvement.

 

Google is already working to apply these insights to its familiar consumer products and services. Deep learning can help recognize what’s in your photos without asking you to tag them yourself, and it can help understand human speech, a key tool for its smartphone apps and Google Glass computerized eyewear. But Google also sees the new AI as a better way to target ads — the core of its business.

 

The DeepMind acquisition is one more step down this road. And though the company has not said as much, you can bet that this new form of AI will also play into things like Nest smart thermostats, the Google self-driving cars, and its big push into robotics.

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IBM Makes Watson Available via API | #machinelearning #AI

IBM Makes Watson Available via API | #machinelearning #AI | e-Xploration | Scoop.it
IBM has upped the ante in the API game by making its Watson question-answering system available as a service. That’s right, Watson could soon power your smartphone app.

Via Ed Stenson
luiy's insight:

IBM didn’t have to flaunt its debatable cloud dominance over Amazon Web Services on the sides of public buses if it wanted to upstage the cloud kingpin at its user conference this week — Big Blue could have just led with the news that its famous, Jeopardy!-champ-destroying Watson system is now available as a cloud service.

 

That’s right: Developers who want to incorporate Watson’s ability to understand natural language and provide answers need only have their applications make a REST API call to IBM’s new Watson Developers Cloud. “It doesn’t require that you understand anything about machine learning other than the need to provide training data,” Rob High, IBM’s CTO for Watson, said in a recent interview about the new platform.

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Fàtima Galan's curator insight, November 15, 2013 8:20 AM

"In order to encourage programmers to take advantage of the platform, IBM is working with venture capital firms — including New Enterprise Associates — to support and fund startups using the Watson API."

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Swarm intelligence - Wikipedia

Swarm intelligence (SI) is the collective behavior of decentralized, self-organized systems, natural or artificial. The concept is employed in work on artificial intelligence. The expression was introduced by Gerardo Beni and Jing Wang in 1989, in the context of cellular robotic systems.[1]

SI systems are typically made up of a population of simple agents or boids interacting locally with one another and with their environment. The inspiration often comes from nature, especially biological systems. The agents follow very simple rules, and although there is no centralized control structure dictating how individual agents should behave, local, and to a certain degree random, interactions between such agents lead to the emergence of "intelligent" global behavior, unknown to the individual agents. Natural examples of SI include ant colonies, bird flocking, animal herding, bacterial growth, and fish schooling.

The application of swarm principles to robots is called swarm robotics, while 'swarm intelligence' refers to the more general set of algorithms. 'Swarm prediction' has been used in the context of forecasting problems.

Swarm intelligence (SI) is the collective behaviour of decentralized, self-organized systems, natural or artificial. The concept is employed in work on artificial intelligence. The expression was introduced by Gerardo Beni and Jing Wang in 1989, in the context of cellular robotic systems.[1]
SI systems are typically made up of a population of simple agents or boids interacting locally with one another and with their environment. The inspiration often comes from nature, especially biological systems. The agents follow very simple rules, and although there is no centralized control structure dictating how individual agents should behave, local, and to a certain degree random, interactions between such agents lead to the emergence of "intelligent" global behavior, unknown to the individual agents. Natural examples of SI include ant colonies, bird flocking, animal herding, bacterial growth, and fish schooling.
The application of swarm principles to robots is called swarm robotics, while 'swarm intelligence' refers to the more general set of algorithms. 'Swarm prediction' has been used in the context of forecasting problems.


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Marlowe : Vers un générateur d’expériences de pensée sur des dossiers #complexes | #DH #AI #agents

Marlowe : Vers un générateur d’expériences de pensée sur des dossiers #complexes | #DH #AI #agents | e-Xploration | Scoop.it
Marlowe, Toward A Generator of Thought Experiments on Complex Files: An author, an experimenter and a reviewer of the computer programs, Marlowe and Prospero, contribute in this article, respectively and successively, an extensive and detailed presentation of Marlowe, a report on what it is like to interact with Marlowe and a review of the recently-published work, by the first author, describing the development of Prospero for the Analyse of complex dossiers of texts concerning a social controversy, and Prospero's extension and adaptation with Marlowe to direct natural language dialog with researchers concerning specific complex dossiers.
luiy's insight:

Comme première définition du type d’expériences engendrées par Marlowe, on peut parler de « dialogues avec un ensemble de mémoires externes ». Marlowe (nom de code : MRLW) est en effet dépositaire de structures de représentation et de stocks de connaissances qui permettent de lui déléguer des tâches d’enquête fastidieuses. Ses ressources étant en grande partie externalisées, MRLW peut permettre un travail collectif via le cumul de concepts et d’exemples, de règles et de procédures éprouvées sur différents dossiers. Contrairement au chercheur humain, MRLW peut explorer, et exploiter, sans autre limite que les capacités de la machine qui l’abrite, d’innombrables combinaisons. Comme la restitution pure et simple de l’ensemble des combinaisons ou des chemins possibles n’aurait aucun sens – augmentant considérablement le travail interprétatif du chercheur – le dialogue sert de cadrage, ou plutôt d’espace de négociation des prises pertinentes par lesquelles s’affirme la maîtrise d’un ou de plusieurs dossiers. MRLW joue son rôle de maintien de la réflexivité à partir de quatre grands types de fonctionnalités :

 

- des accès documentés à des informations difficiles à extraire manuellement (c’est-à-dire par la recherche visuelle dans de multiples fenêtres) ;

 

- des opérations d’évaluation et de synthèse offrant des angles de vue diversifiés sur un même corpus ;

 

- des modèles ou des espaces de calcul aidant à éprouver la consistance des interprétations du chercheur ;

 

- des outils de contrôle sur la composition du corpus, le cadre d’analyse et les priorités du chercheur.

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Google acquiert DeepMind, start-up en intelligence artificielle | #algorithms #NSA

Google acquiert DeepMind, start-up en intelligence artificielle | #algorithms #NSA | e-Xploration | Scoop.it
Google continue de surfer sur la vague de la robotique et de l’intelligence artificielle. En rachetant la startup britannique DeepMind, spécialisée dans l’AI, le géant du web dévoile ses intentions un peu plus.
luiy's insight:

Google vient d’acquérir DeepMind Technologies pour environ 400.000 dollars. DeepMind se définit comme une startup combinant les meilleures méthodes d’apprentissage automatique et des neurosciences des systèmes pour construire des algorithmes utilisables dans la vie de tous les jours. DeepMind commercialise ses applications pour des simulations e-commerce et les jeux vidéos.

 

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Plus aucun doute : Google axe sa stratégie autour de l’intelligence artificielle, indispensable notamment pour ses applications de traduction ainsi que ses solutions de reconnaissance vocale. Après le recrutement de Ray Kurzweil, le père des théories sur la singularité technologique et la création en mai dernier d’un laboratoire baptiséQuantum Artificial Intelligence Lab en collaboration avec la NASA, Google se donne un peu plus les moyens de développer des algorithmes capables de faire des prévisions plus précises.

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Scientists See Advances in #DeepLearning, a Part of Artificial Intelligence | #AI

Scientists See Advances in #DeepLearning, a Part of Artificial Intelligence | #AI | e-Xploration | Scoop.it

Advances in an artificial intelligence technology that can recognize patterns offer the possibility of machines that perform human activities like seeing, listening and thinking.

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