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edabou

Daniel Lemire's blog - Daniel Lemire is a computer science professor at the University of Quebec (TELUQ) in Montreal. His research is focused on software performance and data engineering. He is a techno-optimist. - 4 views

lemire.me/blog

daniel blog science computer science Activité-A

shared by edabou on 07 Sep 17 - No Cached
  • Ulrich Jerry on 07 Sep 17
     
    Article about computer sciences and social media
  • edabou on 22 Jan 21
     
    Science and Technology links (January 16th 2021) You can tell people's political affiliation by image recognition technology.
edabou

Technolab - 0 views

technolab.fun

Activité-A

shared by edabou on 30 Jan 21 - No Cached
  • Deep Learning is not AI Roger Schank, John Evans Professor Emeritus of Computer Science, Psychology and Education, at Northwestern University Salle 11.051, 19 septembre 2019, 10 h
  • edabou on 30 Jan 21
     
    Deep Learning is not AI Roger Schank, John Evans Professor Emeritus of Computer Science, Psychology and Education, at Northwestern University Salle 11.051, 19 septembre 2019, 10 h
sophie-fortin

ScienceDirect.com - Computers in Human Behavior - Who interacts on the Web?: The intersection of users' personality and social media use - 0 views

www.sciencedirect.com/...S0747563209001472

personnalité médias sociaux âge sexe social media use personality traits Activité-A 2-étoiles

shared by sophie-fortin on 26 Jan 13 - No Cached
  • sophie-fortin on 26 Jan 13
     
    "In the increasingly user-generated Web, users' personality traits may be crucial factors leading them to engage in this participatory media. The literature suggests factors such as extraversion, emotional stability and openness to experience are related to uses of social applications on the Internet."
erikhanley

Who can bend light for cheaper internet? | MIT News | Massachusetts Institute of Technology - 0 views

news.mit.edu/...nd-light-cheaper-internet-0830

Activité-A 3-étoiles MIT ARROW FiberOptics FibreOptique WANCostReduction ReductionDeCoutsWAN

shared by erikhanley on 31 Aug 21 - No Cached
  • erikhanley on 31 Aug 21
     
    Les scientifiques du MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) et de Facebook ont conjointement concu un algorithme permettant une haute disponibilité d'un réseau WAN de fibre optique en cas de pannes et la réduction des couts d'opération de ceux-ci. Suggérant une utilisation du réseau plus efficace, avec l'infrastructure de fibre optique existante, 2 à 2.4 fois plus de traffic pourrait passer par ce même réseau.
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