Teknologiseminar

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(Dates and subjects - Autumn 2021 – Thursdays 12:00-12:45)
(Dates and subjects - Spring 2024 – Thursdays 12:15-13:00)
 
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12:00-12:15 Brief exchange of recent news, plans, updates, etc.
12:00-12:15 Brief exchange of recent news, plans, updates, etc.
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~12:20-12:35 Presentation on: Technology / Own Research / Journal review (see [http://robin.wiki.ifi.uio.no/Journal_Review guidelines]), time excludes discussion
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~12:20-12:40 Presentation on: Technology / Own Research / Journal review (see [http://robin.wiki.ifi.uio.no/Journal_Review guidelines]), time excludes discussion
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=== Dates and subjects - Autumn 2021 – Thursdays 12:00-12:45 ===  
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Whatever content you present, remember that some of those attending have no advance knowledge about your project or work so introduce it in the beginning and stay focused on the main issues/challenges etc. Thus, '''make your presentation simple and understandable for as many as possible.'''
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'''5-20 min housekeeping/updates + 15 min talk (casual meetings = round-table)'''
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=== Dates and subjects - Spring 2024 – Thursdays 12:15-13:00 ===  
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'''5-20 min housekeeping/updates + 20 min talk '''
{| class="wikitable"
{| class="wikitable"
|-
|-
|'''When''' || '''What'''||  '''Who'''   
|'''When''' || '''What'''||  '''Who'''   
|-  
|-  
-
02.09 || Introductions, news ||  
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18.01 || Christmas decorations removal || All present
|-  
|-  
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09.09 || (tour de RITMO day) ||  
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25.01 || Towards Sound Innovation Engines Using Pattern-Producing Networks and Audio Graphs [https://www.uio.no/ritmo/english/people/phd-fellows/bthj/presentation/slides/sound-innovation-engine-1.0-(robin).pdf] || Björn Þór Jónsson
|-  
|-  
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16.09 || Casual lunch meeting || Bring your own lunch
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01.02 || Python testbenches in FPGA/ Digital Design course || Yngve Hafting
|-  
|-  
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23.09 || Title of presentation?? || Marieke
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08.02 || Round-table updates || All present
|-  
|-  
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30.09 || Casual lunch meeting || Bring your own lunch
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15.02 || UiO winter activity day [https://foreninger.uio.no/bil/english/winter-activities-day/] || No ROBIN lunch meeting
|-  
|-  
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07.10 || Title of presentation?? || Mojtaba
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22.02 || Possible collaborations with Oslo-Met in energy aware AI hardware and real-time robotics || Ali Muhtaroglu
|-  
|-  
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14.10 || Title of presentation?? || Yngve (remove this note to confirm)
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29.02 || Mechatronics course IN1080 || Mats
|-  
|-  
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21.10 || Casual lunch meeting || Bring your own lunch
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07.03 || Large Language Models applied to robot tasks (contact Jim for a copy of the presentation) || Exchange student Maeda (Kyushu University)
|-  
|-  
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28.10 || Offline Reinforcement Learning || Ulysse
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14.03 || Design through Growth || Elias 
|-  
|-  
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04.11 || Unity Machine Learning Agents for Evolutionary Robotics || Frank
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21.03 || Large Language Models used in research – a great or illegal tool? || Interaction with intro from Jim
|-  
|-  
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11.11 || Casual lunch meeting || Bring your own lunch
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28.03 || Easter Break || --
|-  
|-  
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18.11 || Title of presentation?? || Minh 
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04.04 || Self-Synchronized Musical Agents (this title might change to something more specific) || Pedro Lucas
|-  
|-  
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25.11 || Title of presentation?? || Reza
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|  11.04 || Replacing rules with experience to improve robot planning || Shin
|-  
|-  
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| 02.12 || Casual lunch meeting || Bring your own lunch
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| 18.04 || ||
|-  
|-  
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| 09.12 || Title of presentation?? || Kyrre 
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| 25.04 || Work at Graphcore and new startup: brua.io || Arjun Chandra and Alfredo Clemente
|-  
|-  
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16.12 ||  Title of presentation?? || Katrine (remove this note to confirm)
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02.05 || ||
 +
|-
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09.05 || ||
 +
|-
 +
|  16.05 || || Adel?
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|-
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|  23.05 || Explaining, interpreting, and decision tuning ML-models built on tabular data || Tom F. Hansen
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|-
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|  30.05 || || Kai
|-  
|-  
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|  To be continued || in January ||  (remove this note to confirm)
 
|}
|}
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[[PreviousSeminars|Overview of earlier seminars]]
[[PreviousSeminars|Overview of earlier seminars]]

Current revision as of 13:04, 19 March 2024

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.

~12:20-12:40 Presentation on: Technology / Own Research / Journal review (see guidelines), time excludes discussion

Whatever content you present, remember that some of those attending have no advance knowledge about your project or work so introduce it in the beginning and stay focused on the main issues/challenges etc. Thus, make your presentation simple and understandable for as many as possible.


Dates and subjects - Spring 2024 – Thursdays 12:15-13:00

5-20 min housekeeping/updates + 20 min talk

When What Who
18.01 Christmas decorations removal All present
25.01 Towards Sound Innovation Engines Using Pattern-Producing Networks and Audio Graphs [1] Björn Þór Jónsson
01.02 Python testbenches in FPGA/ Digital Design course Yngve Hafting
08.02 Round-table updates All present
15.02 UiO winter activity day [2] No ROBIN lunch meeting
22.02 Possible collaborations with Oslo-Met in energy aware AI hardware and real-time robotics Ali Muhtaroglu
29.02 Mechatronics course IN1080 Mats
07.03 Large Language Models applied to robot tasks (contact Jim for a copy of the presentation) Exchange student Maeda (Kyushu University)
14.03 Design through Growth Elias
21.03 Large Language Models used in research – a great or illegal tool? Interaction with intro from Jim
28.03 Easter Break --
04.04 Self-Synchronized Musical Agents (this title might change to something more specific) Pedro Lucas
11.04 Replacing rules with experience to improve robot planning Shin
18.04
25.04 Work at Graphcore and new startup: brua.io Arjun Chandra and Alfredo Clemente
02.05
09.05
16.05 Adel?
23.05 Explaining, interpreting, and decision tuning ML-models built on tabular data Tom F. Hansen
30.05 Kai


Overview of earlier seminars

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
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