«Re-Engineering Humanity brings a pragmatic if somewhat dystopic perspective to the technological phenomena of our age. Humans are learning machines and we learn from our experiences. This book made me ask myself whether the experiences we are providing to our societies are in fact beneficial in the long run» – Vint Cerf.
Source : Home | Re-Engineering Humanity
«The potential to give individual police officers facial-recognition technology in sunglasses could eventually make China’s surveillance state all the more ubiquitous» – William Nee.
Source : Chinese Police Add Facial-Recognition Glasses to Surveillance Arsenal – WSJ
«L’IA, ce sont des humains très faciles à trouver. Ils travaillent chez Google, Baidu, Amazon, Alibaba, Facebook, Netflix, AirBnB ou dans les centaines de start-ups qui se créent chaque jour, portées par des wannabe-Zuckerberg. Les cadors de l’IA pèsent des milliards et, pour les plus malins, possèdent des piscines intérieures et des jolies voitures ; derrière le nom de l’IA se trouvent nos semblables — des mesquineries codantes, des humanités fragiles et imparfaites».
Source : Bullshit Thérapie : ne flippez pas, l’intelligence artificielle n’existe pas
«Arsenal’s smart assistant AI suggests settings based on your subject and environment. It uses an advanced neural network to pick the optimal settings for any scene (using similar algorithms to those in self driving cars). Like any good assistant, it then lets you control the final shot. Here’s how it works…»
Source : Meet Arsenal, the Smart Camera Assistant | Features
«A ce jour, en France, les bases de données juridiques en libre accès sont encore incomplètes, mais une loi votée fin 2016 va bientôt imposer à toutes les juridictions de publier intégralement leurs décisions et les textes annexes. Le big data judiciaire pourra alors se déployer pleinement».
Source : Des « juges virtuels » pour désengorger les tribunaux
«The AlphaGo Zero program recently achieved superhuman performance in the game of Go, by tabula rasa reinforcement learning from games of self-play. In this paper, we generalise this approach into a single AlphaZero algorithm that can achieve, tabula rasa, superhuman performance in many challenging domains. Starting from random play, and given no domain knowledge except the game rules, AlphaZero achieved within 24 hours a superhuman level of play in the games of chess and shogi (Japanese chess) as well as Go».
Source : [1712.01815] Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm
«Tu vois, aujourd’hui, les chaînes de montage de voitures automatisées ? Avant, c’était des gens qui le faisaient, ben je suis un peu cet exécutant-là sur la chaîne, qui un jour sera remplacé par un robot. Sauf que ça sera un robot d’intelligence artificielle. Et ce que je fais moi d’ailleurs, c’est du travail à la chaîne. C’est là qu’ils ont été intelligents chez Google».
Via The Conversation
«Atlas is the latest in a line of advanced humanoid robots we are developing. Atlas’ control system coordinates motions of the arms, torso and legs to achieve whole-body mobile manipulation, greatly expanding its reach and workspace. Atlas’ ability to balance while performing tasks allows it to work in a large volume while occupying only a small footprint».
Source : Atlas | Boston Dynamics
«DL will not disagree with any data, will not figure out the injustices in the society, it’s just all “data to learn”. You should hire a dedicated human staff to create fake fair data of an ideal society where white people are arrested as often as blacks, where 50% of directors are women, and so on. But the cost of creating vast amounts of de-biased data edited by human experts, just to train a DL model, makes not worth to replace humans with AI in first place! Further, even if you had trained a DL model that really is fair, you have no evidence to convince a judge or a user about the fairness of any decision, since the DL will give no explanations».
Source : Deep Learning is not the AI future
«The paper introduces AlphaGo Zero, the latest evolution of AlphaGo, the first computer program to defeat a world champion at the ancient Chinese game of Go. Zero is even more powerful and is arguably the strongest Go player in history. Previous versions of AlphaGo initially trained on thousands of human amateur and professional games to learn how to play Go. AlphaGo Zero skips this step and learns to play simply by playing games against itself, starting from completely random play».
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