HN Explorer

karlalopez

↗ HN profile [ 55.0 ms ] full profile
Karma
35
Created
January 24, 2012 (14y ago)
Submissions
0
  1. Introduction to OnShape (layer0.authentise.com)
    2 points 0
  2. Computer vision: Detecting circular shapes using contours (layer0.authentise.com)
    2 points 0
  3. Save lines in tests with Payload Helper functions (layer0.authentise.com)
    1 points 0
  4. Bug Prediction (layer0.authentise.com)
    2 points 0
  5. Pytest and Parametrization (layer0.authentise.com)
    4 points 0
  6. Magical ORMs (layer0.authentise.com)
    1 points 0
  7. Moving from MartyJS to Redux (layer0.authentise.com)
    3 points 0
  8. X Y Z and Extrusion Calibration for 3D Printers (layer0.authentise.com)
    1 points 0
  9. Docker: 4 useful tips, you may not know about (layer0.authentise.com)
    5 points 0
  10. Why we use JWT instead of oAuth to secure microservice communication (layer0.authentise.com)
    3 points 0
  11. How to detect failed 3D prints with computer vision (layer0.authentise.com)
    3 points 0
  12. More comments = Better Code (layer0.authentise.com)
    4 points 0
  13. Reverse engineering 3D printer protocols (layer0.authentise.com)
    2 points 2
  14. Quick fixes for common 3D print failures (layer0.authentise.com)
    1 points 0
  15. Vim plugins and .vimrc settings we love (layer0.authentise.com)
    2 points 0
  16. Why we moved away from GitHub (layer0.authentise.com)
    67 points 38
  17. Researcher Proposes Using Machine Learning to Improve Network Defense (eweek.com)

    With increasing amounts of machine-generated data from the internet of things, is machine learning the future of information security monitoring?

    1 points 0
  18. Machine-Learning Project Sifts Through Security Data (darkreading.com)

    As the volume of data created by security and network devices multiplies, researchers look for ways to teach computer to better highlight attack patterns

    2 points 0