Pollinators and machine learning – how can we help?

Pollinators do a vital job for so many of our wonderful plants. Sadly, they are now struggling due to climate change, as well as other factors.
Through the project «PollinatorWatch», everyone who wants can easily help out in the surveillance of pollinators in the Arctic region, so that we can get a better understanding of how they are doing 🐝
For the past three years, researches from UiT and Aarhus University in Denmark have collaborated on an ambitious research project: They have set up cameras at many locations across the Arctic and have gathered thousands of time-lapse photos of plants and their pollinating visitors.

These photos could help us understand more about the decline in pollinators, but how do we even begin to analyse such enormous amounts of photos? The goal is to teach machines through machine learning.
And to teach machines, we need people! BUT can computers really replace human insight? And can this machine learning be … fun???

Join the presentation to get the answers to these questions and to learn more about the project.
The presentation will be given in english by the biology- and cognitive science student; Isa Lykke Hansen.

All you need to do is to follow this link on the 31 of March, at 19:00:
https://www.zoom.us/s/94743171079

Oppmøtested

All you need to do is to follow this link on the 31 of March, at 19:00: https://www.zoom.us/s/94743171079