Teknologiseminar
From Robin
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|''' When''' || '''Technology / journal review''' || '''Who''' || '''Own research 1''' || '''Own research 2 ''' | |''' When''' || '''Technology / journal review''' || '''Who''' || '''Own research 1''' || '''Own research 2 ''' | ||
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- | | | + | | 04.10 || || || || |
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+ | | 01.11 || || || || | ||
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+ | | 29.11 || || || || | ||
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[[PreviousSeminars|Overview of earlier seminars]] | [[PreviousSeminars|Overview of earlier seminars]] | ||
- | === | + | === Examples of interesting topics for technology introduction === |
- | * | + | * Robotics |
** SLAM | ** SLAM | ||
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** embodied cognition | ** embodied cognition | ||
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+ | * Tools | ||
+ | ** R | ||
+ | ** ROS | ||
+ | ** Deep learning tools | ||
* ANN | * ANN | ||
- | ** | + | ** Recursive NNs |
- | ** | + | ** learning: supervised/unsupervised/reinforcement |
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** spiking networks | ** spiking networks | ||
** NEAT / HyperNEAT | ** NEAT / HyperNEAT | ||
+ | ** Deep NNs | ||
- | + | * Evolutionary algorithms | |
- | * | + | |
** Performance comparison of EAs (statistical tests) | ** Performance comparison of EAs (statistical tests) | ||
** Differential evolution | ** Differential evolution | ||
- | ** | + | ** Diversity preservation methods |
- | ** | + | ** Novelty search, MAP-Elites and variants |
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Revision as of 08:58, 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 | Who | Own research 1 | Own research 2 |
04.10 | ||||
01.11 | ||||
29.11 |
Examples of interesting topics for technology introduction
- Robotics
- SLAM
- embodied cognition
- Tools
- R
- ROS
- Deep learning tools
- 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