Teknologiseminar

From Robin

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

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) / https://ife.no/en/field/humans-and-automation/	Alexandra Fernandes (external)
26.01	Real-World Applications of Multi-Objective Evolutionary Computation (Trial Lecture)	Frank Veenstra
02.02
09.02	Bayesian Neural Networks for continual deep learning	Mateusz Wasiluk
16.02
23.02
02.03
9.03
16.03
23.03
30.03
06.04	Easter Break – No meeting
13.04
20.04
27.04
04.05
11.05
18.05	Ascension day - No meeting
25.05
01.06
08.06
15.06

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