Super cool! The examples are really slick. What sort of research do you see the A2O supporting?
As an Australian living abroad I've been long fascinated by the potential for AI across the continent, you have vast areas of land where there is a tremendous lack of human labor available. It's probably a big part of why invasive species have become so difficult to control, labor intensive management and monitoring techniques just don't scale.
These days I work on industrial edge computing (increasingly focusing on ML). Super interested in the potential to get models running in the field (at scale, on cost optimized hardware). One of my favorite Aussie AI applications has to be the felixer: https://thylation.com/.
There's a couple rules for the a2o in conservation. First, it provides a baseline that we can compare other data collection against - lots of projects will be shorter lived our very local in scope, and so the nearest station can provide some kind of comparison. For more wide-ranging species, we should be able to get a better sense of the geographic variation in vocalisations.
Second, and more direct for this project, there's a lot of questions in monitoring where training data is lacking for classifiers. We see the search tooling as a great way to quickly generate reference recordings to build classifiers.
As an Australian living abroad I've been long fascinated by the potential for AI across the continent, you have vast areas of land where there is a tremendous lack of human labor available. It's probably a big part of why invasive species have become so difficult to control, labor intensive management and monitoring techniques just don't scale.
These days I work on industrial edge computing (increasingly focusing on ML). Super interested in the potential to get models running in the field (at scale, on cost optimized hardware). One of my favorite Aussie AI applications has to be the felixer: https://thylation.com/.