«Plusieurs bâtiments, situés à quelques dizaines de mètres de la gare principale de Zurich, sont finis ou en voie de l’être. D’ici à 2020, voire 2021, la ville devrait compter environ 5000 collaborateurs dans plusieurs endroits. Juste à côté de la gare, qui constitue la nouvelle base centrale pour Google, mais aussi dans les anciens locaux de la brasserie Hurlimann, où se trouvent par exemple toujours les employés développant YouTube – il s’agit de l’équipe spécialisée en vidéo la plus importante hors des Etats-Unis».
Étiquette : machine learning (Page 4 of 10)
«In (very, very unpublishable) clips shared with Engadget, the system was able to identify both the names of the performers in a scene, and what they were doing. Tags such as « blowjob, » « doggy, » « cowgirl, » and « missionary » floated on screen with the corresponding action. The system is also capable of, for instance, identifying blonde performers and adding the requisite tags».
«Big Blue intends to invest $240 million into the lab where IBM researchers and MIT students and faculty will work side by side to conduct advanced AI research».
Source : IBM and MIT pen 10-year, $240M AI research partnership | TechCrunch
«The tech industry is no longer the passion play of a bunch of geeks trying to do cool shit in the world. It’s now the foundation of our democracy, economy, and information landscape» – danah boyd.
Source : Your Data is Being Manipulated – Data & Society: Points
Un vaste débat…
«Il ne faut pas aller vers des métiers trop techniques, car l’intelligence artificielle va nous écraser sur le plan technique. Il faut bien sûr connaître la science et la technologie, mais cela ne suffit pas. Les humanités sont essentielles» – Laurent Alexandre.
«Google’s AI chief isn’t fretting about super-intelligent killer robots. Instead, John Giannandrea is concerned about the danger that may be lurking inside the machine-learning algorithms used to make millions of decisions every minute».
Source : Forget Killer Robots—Bias Is the Real AI Danger – MIT Technology Review
«Neural nets are just thoughtless fuzzy pattern recognizers, and as useful as fuzzy pattern recognizers can be—hence the rush to integrate them into just about every kind of software—they represent, at best, a limited brand of intelligence, one that is easily fooled. A deep neural net that recognizes images can be totally stymied when you change a single pixel, or add visual noise that’s imperceptible to a human. Indeed, almost as often as we’re finding new ways to apply deep learning, we’re finding more of its limits. Self-driving cars can fail to navigate conditions they’ve never seen before. Machines have trouble parsing sentences that demand common-sense understanding of how the world works.Deep learning in some ways mimics what goes on in the human brain, but only in a shallow way—which perhaps explains why its intelligence can sometimes seem so shallow».
Source : Is AI Riding a One-Trick Pony? – MIT Technology Review
« White-Collar Offender Tends to have a low self-esteem, a high IQ and charisma. Anxious, tensed and frustrated, competitive, ambitious and dominant. Usually loves to take risks and have a dry sense of humor » – Description of White-Collar Offender…
Source : FACEPTION | Our Technology
«Meet Todai Robot, an AI project that performed in the top 20 percent of students on the entrance exam for the University of Tokyo — without actually understanding a thing».