Consultant Ingénieurs informatique, Technologie et société

Foreign Affairs (06/13) Kenneth Neil Cukier ; Viktor Mayer-Schoenberger Big data is transforming the way people experience the world and enabling them to learn things that in the past would have been impossible, offering a potential that could rival that of the Internet.  This phenomenon is relatively new because as recently as 2000 only a quarter of stored information was digital, compared with today's figure of more than 98 percent.   Big data does not merely refer to a quantity of information, but also the ability to turn previously unquantified information into data.  This "datafication" of the world, combined with cost-effective computer memory, powerful processors, smart algorithms, and improved software, is driving efforts to provide enough data to a computer to enable it to infer the probability of an event, which is taking the place of trying to teach a computer to complete a task.  Making use of big data requires three major shifts in approach to data.  First,

Le MWC 2013 ne fût très prolifique pour Ubuntu Touch. Très peu de nouvelles news portant sur l’OS « touch » et « mobile » de Canonical. Seul quelques présentations du système d’exploitation sur tablette sont disponibles, ainsi qu’une vidéo sur la convergence des supports. Voici le récapitulatif Ubuntu Touch : Normalement, les prochaines semaines devraient être un peu plus fournies en actualité ! EDIT : Un petit problème d’édiction a été résolu

Stanford Report (CA) (04/11/13) R.F. Mackay Researchers at Stanford University's Lytics Lab are analyzing data from massive open online courses (MOOCs) to study how students learn.  The group, which includes graduate students, researchers, professors, and visitors from various fields, meets weekly to discuss ongoing projects.  Lytics projects include a dashboard aimed at helping instructors gauge student engagement, a study of peer assessment based on peer grades in a MOOC course on human-computer interaction, automated coding assignment feedback, and student performance predictors.  The study of learning analytics aims to interpret data generated by students to assess progress, predict performance, and define problems by gathering data when students complete tasks such as assignments, exams, and peer assessments.  Three Lytics Lab members presented their research results at the recent Learning Analytics and Knowledge meeting.  The group sought data to counter objections to MOOCs,

@PierreCol: Et si T411 préfigurait le peer-to-peer légal et intelligent pour internautes et ayants droit ? http://bit.ly/T411ZD #P2P #VOD #SVOD Shared via TweetCaster Cnam Liban