Teknologiseminar

From Robin

(Difference between revisions)
Jump to: navigation, search
(Dates and subjects - Autumn 2016)
(Dates and subjects - Autumn 2016)
Line 22: Line 22:
|  30.09    ||                                  ||                                      ||   
|  30.09    ||                                  ||                                      ||   
|-  
|-  
-
|  04.11    ||                                  ||                                       ||   
+
|  04.11    ||                                  || Jim - AI for new health projects    ||   
|-  
|-  
|  02.12    ||                                  ||  Mats - Optimization of plant growth  ||   
|  02.12    ||                                  ||  Mats - Optimization of plant growth  ||   

Revision as of 10:13, 6 September 2016

Meeting structure

Place: ROBIN pause area, 4th floor Ole-Johan Dahls hus

13:00-13:15 Brief exchange of recent news, plans etc

13:15-13:45 Technology introduction or conference / journal review, see guidelines

13:45-14:45 Research presentation by two people (presentation of and discussion around group member's current research)

15:00 Meeting ends at the latest

Please upload pdf of your presentation here: http://robinternal.wiki.ifi.uio.no and link to it from the table below.

Dates and subjects - Autumn 2016

DON'T EDIT THIS WITH THE RICH EDITOR! IT DESTROYS THE TEXT VERSION!

When Technology / journal review Own research 1 Own research 2
30.09
04.11 Jim - AI for new health projects
02.12 Mats - Optimization of plant growth


Overview of earlier seminars

Examples of interesting topics for technology introduction

  • Robotics
    • SLAM
    • embodied cognition
  • ANN
    • Recursive NNs
    • learning: supervised/unsupervised/reinforcement
    • spiking networks
    • NEAT / HyperNEAT
    • Deep NNs
  • Evolutionary algorithms
    • Performance comparison of EAs (statistical tests)
    • Differential evolution
    • Diversity preservation methods
    • Novelty search, MAP-Elites and variants
  • Tools
    • R
    • ROS
    • Deep learning tools
Personal tools
Front page