Yep. They made the process much more efficient, they can release 25x per week of mosquitos of what the startup they are working with could do before.
This is by doing automation - a robot that rear moskuitos , removes females from the group, automatically releases mosquitos at the right area, result measurement tools, etc.
Another interesting thing:reading this, and the recent news about Google entering geo-thermal power generation - One gets the notion that Google found a way to locate areas with a decent solution available, but that just needed scaling - developing cheaper processes and tools, working with cities and government and financing institutions, etc.
And doing that is much easier than inventing new stuff in really hard areas, like the previous approach of Alphabet.
And i could see how having the best search engine in the world, all that data, all that "AI" capability could enable an automated or half-automated "lead sensing" approach such as this.
It doesn't really explain though. Are the sensors detecting something chemically unique to males / females? Or are they taking images of each mosquito and differentiating between them with ML?
I believe one way is to generate a frequency similar to female wingbeat frequency that attracts male mosquitoes and separate them that way. I am unsure if there is a difference in the frequency between genders.
This is how the photo fence from intellectual ventures detects and destroys female mosquitoes.Unfortunately they never released that tech as open source
This is by doing automation - a robot that rear moskuitos , removes females from the group, automatically releases mosquitos at the right area, result measurement tools, etc.
Another interesting thing:reading this, and the recent news about Google entering geo-thermal power generation - One gets the notion that Google found a way to locate areas with a decent solution available, but that just needed scaling - developing cheaper processes and tools, working with cities and government and financing institutions, etc.
And doing that is much easier than inventing new stuff in really hard areas, like the previous approach of Alphabet.
And i could see how having the best search engine in the world, all that data, all that "AI" capability could enable an automated or half-automated "lead sensing" approach such as this.