Studying the appearance of algorithms in popular culture and everyday life. By PlummerFernandez
Archive Submit
“Google no longer understands how its “deep learning” decision-making computer systems have made themselves so good at recognizing things in photos.
What stunned [Google Software Engineer] Quoc V. Le is that the software has learned to pick out features in things like paper shredders that people can’t easily spot – you’ve seen one shredder, you’ve seen them all, practically. But not so for Google’s monster.
Many of Quoc’s pals had trouble identifying paper shredders when he showed them pictures of the machines, he said. The computer system has a greater success rate, and he isn’t quite sure how he could write a program to do this.
Google researchers can no longer explain exactly how the system has learned to spot certain objects, because the programming appears to think independently from its creators, and its complex cognitive processes are inscrutable. " 
Via The Register

Google no longer understands how its “deep learning” decision-making computer systems have made themselves so good at recognizing things in photos.

What stunned [Google Software Engineer] Quoc V. Le is that the software has learned to pick out features in things like paper shredders that people can’t easily spot – you’ve seen one shredder, you’ve seen them all, practically. But not so for Google’s monster.

Many of Quoc’s pals had trouble identifying paper shredders when he showed them pictures of the machines, he said. The computer system has a greater success rate, and he isn’t quite sure how he could write a program to do this.

Google researchers can no longer explain exactly how the system has learned to spot certain objects, because the programming appears to think independently from its creators, and its complex cognitive processes are inscrutable. "

Via The Register


#Google  #Machine learning  #Algorithm  #image recognition  

48,172 notes
  1. ericfalkenberg reblogged this from algopop and added:
    this is why black-box machine learning algorithms like neural networks are as horrifying as they are fucking cool
  2. the-original-fish24 reblogged this from my-wayward-shawn
  3. living-what-life-means reblogged this from my-wayward-shawn
  4. my-wayward-shawn reblogged this from littlebobbytables and added:
    SKYNET
  5. twofeethighandrising reblogged this from algopop
  6. thearrowavenger reblogged this from vulcanettenluder
  7. vulcanettenluder reblogged this from triplexpoint
  8. nubpher reblogged this from triplexpoint
  9. falsephilosopher reblogged this from ze-queer-veda
  10. ze-queer-veda reblogged this from astrid42
  11. astrid42 reblogged this from joshbyard
  12. triplexpoint reblogged this from ceceliatallis and added:
    初めまして
  13. midnightwolfhowls reblogged this from bambibullets
  14. dreamingofautumnleaves reblogged this from mystraknits
  15. kefiiirs reblogged this from kaysta and added:
    somebody call the turing cops
  16. hhips reblogged this from mmg62ui35gyu24
  17. kaysta reblogged this from kenta-rin
  18. kenta-rin reblogged this from birdschoolforbirds
  19. burningeveryhorizon reblogged this from knife-master-rev
  20. knife-master-rev reblogged this from juliuscaesarofficial
  21. ramblingmage reblogged this from tyleroakley and added:
    The end is coming
  22. hell0-tyrannosaurus reblogged this from algopop
  23. kateosaur reblogged this from doctorbee
  24. birthfetus reblogged this from onelazyfeminist
  25. infanteslibris reblogged this from winterqueenelsaa
  26. scarxxo reblogged this from prokopetz



____________________________________________________________________________________