Étiquette : artificial intelligence (Page 16 of 24)

6 décembre 2017 /

«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

27 novembre 2017 /

raters

«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

20 novembre 2017 /

«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

20 novembre 2017 /

Deep Learning

«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

AlphaGo Zero: Learning from scratch

23 octobre 2017 /

«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».

Source : AlphaGo Zero: Learning from scratch | DeepMind

5 octobre 2017 /

«Convoquer des spéculations sur des formes d’IA qui n’existent pas encore et n’existeront probablement jamais, pour terrifier et mobiliser les foules relève plus de la religion que de la science. Ces invitations à embrasser une forme de futur inévitable qu’on martèle pour se persuader qu’il va advenir me cassent les pieds» – Hubert Guillaud.

Source : L’avenir de l’intelligence artificielle est-il… inévitable ? (2/2) : du réductionnisme à l’éthique de l’intelligence | InternetActu.net

3 octobre 2017 /

«Cette coopération résulte d’une vision sur le long terme. En laissant les universitaires continuer à former la future main-d’œuvre, on s’assure qu’il n’y aura jamais de pénurie en IA» – Jean-François Gagné (Element AI).

Source : Element AI, la start-up qui affole le Canada

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