Teknologiseminar

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(Dates and subjects - Spring2022 – Thursdays 12:00-12:45)
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|  16.03 || A Sound Innovation Engine with Evolutionary Algorithms || Björn Þór Jónsson
|  16.03 || A Sound Innovation Engine with Evolutionary Algorithms || Björn Þór Jónsson
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|  23.03 || ROBINs labs || Vegard Søyseth and Adrian Bergflødt
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|  23.03 || [https://pages.github.uio.no/vegardds/robin-seminar23/#/title-slide ROBINs labs] || Vegard Søyseth and Adrian Bergflødt
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|  30.03 || The SmartAUVs project || Ivar-Kristian Waarum
|  30.03 || The SmartAUVs project || Ivar-Kristian Waarum

Revision as of 22:03, 22 March 2023

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 - Spring2022 – Thursdays 12:00-12:45

5-20 min housekeeping/updates + 20 min talk

When What Who
12.01 Runtime Analysis of Evolutionary Algorithms Per Kristian Lehre (external, from University of Birmingham)
19.01 Projects at Institute for Energy Technology (IFE) / Humans and Automation Department Alexandra Fernandes (external)
26.01 Real-World Applications of Multi-Objective Evolutionary Computation (Trial Lecture) Frank Veenstra
02.02 No presentation since relevant for many to attend Julian's defence at RITMO
09.02 Bayesian Neural Networks for continual deep learning Mateusz Wasiluk - Presentation
16.02 Comparing optimization algorithms and improving their efficiency Etor Arza - Presentation
23.02 Winter holiday - Casual meeting today
02.03 Foundation Models for Reinforcement Learning and Robotics Kai Olav Ellefsen
09.03 Machine learning for prediction and optimization in rock engineering – ML supporting in tunnelling Tom Frode Hansen, PhD-student from NGI
16.03 A Sound Innovation Engine with Evolutionary Algorithms Björn Þór Jónsson
23.03 ROBINs labs Vegard Søyseth and Adrian Bergflødt
30.03 The SmartAUVs project Ivar-Kristian Waarum
06.04 Easter Break – No meeting
13.04 Human-Agents Interactive Music System (Mixed Reality in Unity) Pedro Lucas
20.04 NeuroAI: Combining neuroscience and machine learning to develop next-generation AI Mikkel Lepperød
27.04 Adel Baselizadeh ?
04.05 Sharing the experience from the stay in Japan Diana Saplacan
11.05 Introduction to biosignal processing to derive metrics describing the sympathetic nervous system Ulysse Côté-Allard
18.05 Ascension day - No meeting
25.05 Jim Tørresen?
01.06 Katrine Nergård?
08.06 Emma H. Standby from Japan?
15.06 Yngve Hafting?


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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