Teknologiseminar
From Robin
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| 19.05 || Tobias Mahler (jus) om VIROS || | | 19.05 || Tobias Mahler (jus) om VIROS || | ||
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| 26.05 || Presentation of Simula/UiO's [https://www.mn.uio.no/fysikk/english/research/projects/bio-inspired-neural-networks-for-ai-applications/index.html BioAI research group] || [https://www.simula.no/people/mikkel Mikkel Lepperød]|| | | 26.05 || Presentation of Simula/UiO's [https://www.mn.uio.no/fysikk/english/research/projects/bio-inspired-neural-networks-for-ai-applications/index.html BioAI research group] || [https://www.simula.no/people/mikkel Mikkel Lepperød]|| |
Revision as of 12:10, 9 May 2022
Meeting structure
Place: ROBIN pause area, 4th floor Ole-Johan Dahls hus / gather town
12:00-12:15 Brief exchange of recent news, plans, updates, etc.
~12:20-12:35 Presentation on: Technology / Own Research / Journal review (see guidelines), time excludes discussion
Dates and subjects - Spring 2022 – Thursdays 12:00-12:45
5-20 min housekeeping/updates + 15 min talk
When | What | Who | |
27.01 | Introductions, news | ||
03.02 | Computational resources (Slides) | @Vegard | |
10.02 | General update (Annual PhD report 2021) | ||
17.02 | Kai | Catastrophic Forgetting | |
24.02 | No presentation/Casual meeting | ||
03.03 | Alex | Neural oscillator models | |
10.03 | Stefano Nichele (OsloMet) | Neural Cellular Automata (and other topics) | |
17.03 | No presentation/Casual meeting | ||
24.03 | Emma | ||
31.03 | No presentation/Casual meeting | ||
07.04 | Ulysse | Adherence forecasting for G-ICBT | |
14.04 | Easter break – no meeting | ||
21.04 | Diana | Overview on the VIROS project [1] | |
28.04 | Adel | ||
05.05 | Mats (Cancelled, no presentation) | Cancelled | |
12.05 | No presentation/Casual meeting | ||
19.05 | Tobias Mahler (jus) om VIROS | ||
26.05 | Presentation of Simula/UiO's BioAI research group | Mikkel Lepperød |
Examples of interesting topics for technology introduction
Feel free to add topics to the wishlist!
- Robotics
- Reinforcement learning for robotics
- SLAM
- embodied cognition
- Swarm
- Neural networks
- Recursive NNs and LSTMs
- NEAT / HyperNEAT
- Deep NNs
- Evolutionary algorithms and other types of optimization
- Performance comparison of EAs (statistical tests)
- Differential evolution
- Diversity preservation methods
- Novelty search, MAP-Elites and variants
- Bayesian optimization
- Tools
- SLURM
- R
- Python as alternative to R, incl. matplotlib
- ROS
- Deep learning frameworks and practice
- Unity ML agents