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‪Robot That Can Learn, Think And Act By Itself #DigInfo‬‏

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How DARPA Is Making a Machine Mind out of Memristors Artificial intelligence has long been the overarching vision of computing, always the goal but never within reach. But using memristors from HP and steady funding from DARPA, computer scientists at Boston University are on a quest to build the electronic analog to a human brain. The software they are developing – called MoNETA for Modular Neural Exploring Traveling Agent – should be able to function more like a mammalian brain than a conventional computer. At least, that's what they're claiming in a new feature in IEEE Spectrum. There's reason to be optimistic that this attempt might be different from all the previous AI let-downs that have come before it. The Boston U. team, by its own admission, doesn't yet know exactly what these platforms will look like, but they seem very confident that they will soon be a reality. Decide for yourself if MoNETA is the real deal by clicking through the source link below. [IEEE Spectrum]

Robotics Robotics is the branch of mechanical engineering, electrical engineering and computer science that deals with the design, construction, operation, and application of robots,[1] as well as computer systems for their control, sensory feedback, and information processing. These technologies deal with automated machines that can take the place of humans in dangerous environments or manufacturing processes, or resemble humans in appearance, behavior, and/or cognition. Many of today's robots are inspired by nature contributing to the field of bio-inspired robotics. The concept of creating machines that can operate autonomously dates back to classical times, but research into the functionality and potential uses of robots did not grow substantially until the 20th century.[2] Throughout history, robotics has been often seen to mimic human behavior, and often manage tasks in a similar fashion. Etymology[edit] History of robotics[edit] Robotic aspects[edit] Components[edit] Power source[edit]

Langue des Signes pour Bébé Kirobo: Toyota's Robot Astronaut Heading for International Space Station Google’s artificial intelligence mastermind responds to Elon Musk’s fears We can get along fine, at least for a few decades, according to Demis Hassabis. (Andrea Comas/Reuters) Demis Hassabis is an impressive guy. A former child prodigy, a chess master at 13 and the founder of DeepMind Technologies, a British artificial intelligence company that Google acquired last year. Now 38, he’s at the forefront of an emerging technology with an unmatched potential for good and bad. Hassabis and his researchers published a landmark paper this week, creating an algorithm that learns in a human-like manner. Elon Musk, a DeepMind investor — he says the better to keep an eye on them — has led the charge, calling artificial intelligence mankind’s greatest threat. At a news conference Tuesday Hassabis addressed Musk’s concerns: “We’re many, many decades away from anything, any kind of technology that we need to worry about. He was also quick to downplay any rift with DeepMind and Musk. Elon Musk loves artificial intelligence?

"B" das fliegende Modellauto Wer erinnert sich noch an die Kinderserie "Robby, Tobbi und das Fliewatüüt"? Das Fliewatüüt kann wie ein Hubschrauber fliegen, wie ein Schiff schwimmen und wie ein Auto auf Land fahren. Schwimmen kann das "B" getaufte fliegende Modellauto leider noch nicht, aber laut dem Projektleiter von "B" will man auch das Landen auf dem Wasser in einer späteren Version umsetzen. Der Komplettbausatz liegt mit Versandkosten bei knapp 400 Euro. Der "B" ist ein Quadrokopter-Modellfahrzeug-Hybrid. Die Kombination von Quadrokopter und Modellauto läuft momentan als Kampagne auf der Crowdfounding-Plattform Kickstarter. Eine kleine Übersicht über den Aufbau des "B". Die wesentliche Eigenschaften des "B" sind auf der Projektseite zusammengefasst: Senkrechtstart und -landungWechsel zwischen Fahrzeug- und Flugmodus ist in beide Richtungen möglichcirca 15 Minuten AkkulaufzeitHD-Kamera (1280x720 Bildpunkte) mit Speicherkarte Der "B" in Aktion Für die Antriebseinheit des "B" ist ein Patent angemeldet.

Et nous assistâmes, les bras ballants, à la privatisation du web Mis en ligne le lundi 11 avril 2011 ; mis à jour le mercredi 4 mai 2011. Régulièrement on nous pose la question. Ou alors on nous propose. Pourquoi Le Tigre n’est pas sur Facebook, sur Twitter ? Vous voulez qu’on s’en charge ? Je réponds poliment - pas toujours poliment - que non merci ça ira très bien comme ça. Il faut se méfier des métaphores avec lesquelles on peut tout dire, et son contraire. La métaphore est facile à décoder : la route du bas, c’est le monde du web traditionnel. Je passe sur la question de la vie privée, qui - semble-t-il - est davantage médiatisée depuis un certain temps [1]. Il est par ailleurs frappant de constater que la plupart des utilisateurs de Facebook ne savent pas que tout ce qui est publié sur ce site lui appartient de facto. On peut se dire, après tout, que tant pis : c’est librement consenti, c’est ainsi, depuis que le monde est monde par paresse ou par manque de temps ou de compétences, on s’en remet à d’autres. Toute la question est là.

Real robot How to Make a Mind Can nonbiological brains have real minds of their own? In this article, drawn from his latest book, futurist/inventor Ray Kurzweil describes the future of intelligence—artificial and otherwise. The mammalian brain has a distinct aptitude not found in any other class of animal. We are capable of hierarchical thinking, of understanding a structure composed of diverse elements arranged in a pattern, representing that arrangement with a symbol, and then using that symbol as an element in a yet more elaborate configuration. This capability takes place in a brain structure called the neocortex, which in humans has achieved a threshold of sophistication and capacity such that we are able to call these patterns ideas. We are now in a position to speed up the learning process by a factor of thousands or millions once again by migrating from biological to nonbiological intelligence. Consider the benefits. Last but not least, we will be able to back up the digital portion of our intelligence.

Des chercheurs qui trouvent Chercher n'est pas tout, trouver est essentiel. Cela tombe sous le sens, le bon sens même... Il existe de nombreuses facettes de la recherche: humanitaire versus financière, moderniste versus traditionaliste, sectorisée versus globalisée mais surtout officielle versus alternative. Mais en réalité une option et une seule, une vision et une seule de la médecine a droit de citer. Il n'existe qu'une voix; celle qui est classée officielle. Soit, ce n'est si grave ou plutôt ce ne serait pas si grave si tout le monde avait accès à un financement équitable... mais voilà nous vivons autant, voir plus, dans le monde de la haute finance que dans le monde de l'humanisme et le retour sur investissement est LE dieu moderne, et c'est cette voie qui dicte ce qui est "officiel", acceptable et en fin de compte déclaré BON pour l'humanité. Je veux bien être naïve mais pas au point de ne pas comprendre que les enjeux de santé ne peuvent en aucun cas être dirigés et orientés par les profits boursiers.

Meet ATLAS! Synthetic intelligence Synthetic intelligence (SI) is an alternative term for artificial intelligence which emphasizes that the intelligence of machines need not be an imitation or any way artificial; it can be a genuine form of intelligence.[1] John Haugeland proposes an analogy with simulated diamonds and synthetic diamonds—only the synthetic diamond is truly a diamond.[1] Synthetic means that which is produced by synthesis; combining parts to form a whole, colloquially, a man-made version of that which has arisen naturally. As defined, a "synthetic intelligence" would therefore be man-made, but not a simulation. The term was used by Haugeland in 1986 to describe artificial intelligence research up to that point,[1] which he called "good old fashioned artificial intelligence" or "GOFAI". Sources disagree about exactly what constitutes "real" intelligence as opposed to "simulated" intelligence and therefore whether there is a meaningful distinction between artificial intelligence and synthetic intelligence.

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