New algorithm lets independent agents collectively produce a machine-learning model without aggregating data.
Researchers from MIT’s Laboratory for Information and Decision Systems have developed an algorithm in which distributed agents — such as robots exploring a building — collect data and analyze it independently. Pairs of agents, such as robots passing each other in the hall, then exchange analyses.
Sure, Elon Musk wants to make science fiction reality by building a city on Mars. But when it comes to other sci-fi scenarios — namely, a robot apocalypse — the founder of Tesla andSpaceX is much less optimistic.
Musk revealed his fear of a robot uprising during an interview on CNBC on Tuesday while answering questions about his investment in an artificial intelligence research company called Vicarious.
Ray Kurzweil — inventor of things like machines that turn text into speech — has popularized the idea that we are rapidly approaching "the singularity," the point at which machines not only think for themselves but develop intellectually faster than we do. At that point, maybe we no longer talk about "human history." It will be "machine progress," with us along for the ride — if machines keep us around. Maybe they'll keep us in a zoo, like we do with our monkey ancestors. Scientists and ethicists are beginning to wrestle with the question of how to make sure artificial intelligence, when it arrives, is nice to us.
So, this weekend's news in the tech world was flooded with a "story" about how a "chatbot" passed the Turing Test for "the first time," with lots of publications buying every point in the story andtalking about what a big deal it was. Except, almost everything about the story is bogus and a bunch of gullible reporters ran with it, because that's what they do.
Is it a real thing or paranoia to think that 80 percent of IT administrators fear exposure through mobile devices? It's both a real thing and it requires a healthy dose of paranoia to appropriately fear the coming Internet of Things.
Here’s a simple recipe for solving crazy-hard problems with machine intelligence. First, collect huge amounts of training data — probably more than anyone thought sensible or even possible a decade ago. Second, massage and preprocess that data so the key relationships it contains are easily accessible (the jargon here is “feature engineering”). Finally, feed the result into ludicrously high-performance, parallelized implementations of pretty standard machine-learning methods like logistic regression, deep neural networks, and k-means clustering (don’t worry if those names don’t mean anything to you — the point is that they’re widely available in high-quality open source packages).
The so-called Internet of Things (IoT) came to the British public's fullest attention earlier this month, following national media coverage about two household name retailers announcing their proposed £3.4 billion merger. Dixon's and Carphone Warehouse positioned their desire to marry consumer electrical goods, such as fridges and TVs, with smartphone devices, as part of their preparation for IoT. In so doing, they would appear to want their slice of the multi-billion treasure trove tech industry giants such as Cisco and GE have been forecasting in the next five years.
Des chercheurs ont réussi une téléportation quantique de données sur 3 mètres, contredisant ainsi Einstein qui ne croyait pas en "l'intrication quantique" (entanglement) et qui y voyait une "action surnaturelle à distance". Peut-être le futur du réseau internet ?
The second in a series of posts about the major myths of robotics, and the role of science fiction role in creating and spreading them. Previous and former topics, respectively: Robots are strong, the myth of robotic hyper-competence, and robots are evil, the myth of killer machines.
I first encountered Jaron Lanier’s work when I taught his essay “One-Half of A Manifesto” to computer science students at the University of Texas at Austin. In it he argues, against most of his fellow computer scientists, that humans are not digital or biological computers and they are unlikely to be replaced by computers anytime soon. Lanier rejects what he calls “cybernetic totalism...
Cycorp, la société de Doug Lenat existe depuis 1984. Depuis près de trente ans l’équipe de Cycorp travaille secrètement sur une intelligence artificielle hors du commun, plus perfectionnée que Watson, Vital ou Siri, Cycorp vient d’annoncer que son logiciel est presque prêt pour une première démonstration mondiale.
A programme that convinced humans that it was a 13-year-old boy has become the first computer ever to pass the Turing Test. The test — which requires that computers are indistinguishable from humans — is considered a landmark in the development of artificial intelligence, but academics have warned that the technology could be used for cybercrime.
Les robots en passe d'imiter les humains : un programme passe pour la première fois le test de Turing en se faisant passer pour un adolescent de 13 ans auprès d'un tiers du jury de la Royal Society à Londres.
A group of researchers is exploring the possibility of programming robot brains to be more “neurotic” in order to help them make more human-like decisions. Discovery News reportedon one team’s findings which were presented this week at the IEEE International Conference on Robotics and Automation in Hong Kong.
While it may be an interesting question whether the seasons are changing in artificial intelligence (AI), or to what extent the entertainment industry is herding pop culture, it may not have much to do with future reality. Given recent attention AI has received and the unique potential for misunderstanding, I thought a brief story from the trenches in the Land of Enchantment might shed some light.
Some futurists and science fiction writers predict that we're on the cusp of a world-changing "Technological Singularity." Skeptics say there will be no such thing. Today, I'll be debating author Ramez Naam about which side is right.
The differences between human intelligence (UI) and artificial intelligence (AI ) are related to their history. While the brain is born with the primary task of governing body and ensure its survival , in AI builds a brain without a body, and we consider only the rational aspects and abstract intelligence, neglecting the interaction with the environment. It follows that the UI is broad spectrum and can cope quite well and solve a very wide range of problems, while each AI program is set up to solve a specific problem.
N'en déplaise aux médias, les transhumanistes ne sont pas tous convaincus qu'il sera possible à court ou moyen terme de transférer une conscience biologique sur un support numérique. Au vu des techniques actuellement disponibles, “l’up-loading”, ou “téléchargement de la pensée”, relève plus de la spéculation que de la théorie scientifique.
Marc Roux, 28/05/2014
Pierre Tran's insight:
Les transhumanisme répondent à la chronique de Xavier De La Porte