Understanding Collective Insect Communication with ML with Orit Peleg
EPISODE 590
|
SEPTEMBER
5,
2022
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About this Episode
Today we’re joined by Orit Peleg, an assistant professor at the University of Colorado, Boulder. Orit’s work focuses on understanding the behavior of disordered living systems, by merging tools from physics, biology, engineering, and computer science. In our conversation, we discuss how Orit found herself exploring problems of swarming behaviors and their relationship to distributed computing system architecture and spiking neurons. We look at two specific areas of research, the first focused on the patterns observed in firefly species, how the data is collected, and the types of algorithms used for optimization. Finally, we look at how Orit’s research with fireflies translates to a completely different insect, the honeybee, and what the next steps are for investigating these and other insect families.
About the Guest
Orit Peleg
University of Colorado Boulder
Resources
- Synchronous fireflies - raw footage
- P. carolinus collective flashing in 360°
- 3D Reconstruction of Flash Synchronization
- Honeybees scenting at hive entrance
- Collective scenting in honeybee swarms - experiments
- Collective scenting in honeybee swarms - simulations
- Deep Unsupervised Learning for Climate Informatics with Claire Monteleoni - #497
- Swarm AI for Event Outcome Prediction with Gregg Wilcox - #299
- Solving the Cocktail Party Problem with Machine Learning with Jonathan Le Roux - #555
