The evolution of memes on Facebook Le monnaie virtuelle Bitcoin débarque sur Facebook Le Bitcoin devient désormais social, une société du nom de QuickCoin, basée à San Francisco aux Etats-Unis, a développé une application qui permet de recevoir mais également d’envoyer des Bitcoins à travers le réseau social Facebook et ce à sa communauté, à ses amis. La nouvelle application devrait permettre de faciliter les échanges, du moins c’est ce que pense et espère le président de cette société nouvellement créée, Marshall Hayner, dont l’objectif est de familiariser le grand public avec cette monnaie qui selon lui est vouée à un grand avenir.
Occupy Wall St. Les Verts de Rage Rien ne peut arrêter une idée dont l'heure est venue - V.Hugo Désolé du dérangement, nous allons changer le monde... L'histoire retiendra ceux qui auront eu l'audace, ceux qui auront eu la responsabilité, ceux qui ne se seront pas rési...gnés ! Chacun doit remplir son rôle car au delà de nos différences, c'est le sort de nos enfants et des générations futures qui est en train de se déterminer maintenant... «A force de sacrifier l'essentiel pour l'urgent, on finit par oublier l'urgence de l'essentiel » Edgar Morin Fréquemment l’écologie est traitée comme un sujet optionnel, une contrainte supplémentaire qui vient s’ajouter à tous nos petits malheurs du court terme…. Cependant, l’enjeu ne se joue pas à court terme, il se joue sur le long terme, sur la façon dont nous préparons et préparerons notre propre avenir. Les forces politiques en place ne prennent pas en considération les enjeux écologiques, qui conditionnent pourtant tous les autres défis que l’homme s’apprête à relever … Rejoins-nous !
Analyze your Facebook page - LikeAlyzer How Your Facebook Profile Reveals More About Your Personality Than You Know Words most commonly used by women. The researchers could predict users’ genders with 92 percent accuracy. What do your status updates really say about you? In a study published last week at PLOS ONE, scientists at the University of Pennsylvania examined the language used in 75,000 Facebook profiles. The researchers found that they could predict a user’s gender with 92 percent accuracy. To date, this is the largest study of its kind. “Automatically clustering words into coherent topics allows one to potentially discover categories that might not have been anticipated,” the authors wrote. The group was particularly interested in using this approach to determine users’ characteristics. Some of the language was consistent with previous psychological findings. But other discoveries were more novel. The researchers hope to use their findings to provide more insight into what behavior sets different types of people apart.
Facebook Building Major Artificial Intelligence System To Understand Who We Are Meaningful artificial intelligence has been the aim of computer science since Alan Turing first imagined, in the 1950s, a computer that “passed” as human. Hollywood movies began shortly thereafter to depict computers with human-like intelligence. But, like so many things, artificial intelligence has been much harder to achieve in reality than in the movies. But following research breakthroughs about five years ago, leading tech companies, including Microsoft, IBM and Google, have begun investing big money in artificial intelligence applications. Facebook, not wanting to be left behind, is flexing its muscles, too. Much of Wall Street’s interest in Facebook, albeit fickle, has stemmed from the potential commercial value of what the social network knows about its users. And Facebook has a lot of data from which an artificial learning setup could draw inferences. “If you feed all this information, the computer is basically going to develop the ability to make sense of the inputs.
Data Science of the Facebook World More than a million people have now used our Wolfram|Alpha Personal Analytics for Facebook. And as part of our latest update, in addition to collecting some anonymized statistics, we launched a Data Donor program that allows people to contribute detailed data to us for research purposes. A few weeks ago we decided to start analyzing all this data. And I have to say that if nothing else it’s been a terrific example of the power of Mathematica and the Wolfram Language for doing data science. We’d always planned to use the data we collect to enhance our Personal Analytics system. I’ve always been interested in people and the trajectories of their lives. So what does the data look like? So a first quantitative question to ask is: How big are these networks usually? But how typical are our users? And what we see is that in this broader Facebook population, there are significantly more people who have almost no Facebook friends. So, OK. But what friends do they add? OK. But, OK.