Name: 野生生物の洞察。テクノロジーとAIで生物多様性を救う (Wildlife Insights: Saving Biodiversity with Tech and AI)
Uploaded: 2021-01-14T09:44:21.000Z
Duration: 5 min 9 s
Description: VoiceTubeの動画で発音を聞きながら英語表現を覚えよう！学べる英語：

様態の副詞

If you walk into a tropical forest, you essentially ms 90%.

They hear things and smell things way before any of us can.

They're aware of us much more than that way with camera traps and other passive sensors.

We now have technologies that collect information no matter what, you can put them in a very large area, and then they will snap.

A picture of an animal going by on the amount of information that you can get from them is incredible.

You cannot permit that every terrorist was ground.

This impact is next to you because I don't get it.

You are the concert of our lesson spaces at the report that came out from the Biodiversity Conventions scientific body.

Report on the state of biological diversity of planet.

And of course, it's not surprising that it very a warming, you know, they've been five times in the history of life on Earth when there have been mass extinctions The premise of that U.

N report is that we are on the very verge of six extinction.

Some of the things going on right now are exactly the prelude Sze that will lead to such a calamitous loss of biological diversity maybe 10 to 20% of all life on Earth.

And it's time for us to wake up and do something about it.

When threats like the four station are accelerating and evolving quickly, we just don't have enough time to wait for data to commit one place that we were set in camera traps.

This is like the bottleneck that we have.

We brought the system to play the data, but we are quite a slow in processing on analyzing this information.

The second barrier that we identify with Commodore Data is that the data is silent and it's very difficult to have like a big picture off.

What hold these data is telling you if it's all in different places while I've incited to response to these barriers?

Wildlife Insights is a cloud based A I enabled platform that allows many different organizations to upload, store, manage and share their data and derive meaningful insights from that data.

The hope is that it's going to drastically speed the process of getting the data from in the field on the camera, two up in the Google cloud and open for analysis and mapping.

The first priority for the eye models is being able to distinguish if there is an animal in an image, or if there's just a blank background with no animal in it right now.

He won't go like, Oh, the second task is to do species classification and allow a researcher to filter through millions and millions of images and say, Show me all the you know, greater bamboo lemurs or whatever species of their interest in the project.

You keep open spaces in the 50 years ahead location.

If we have good data about what's happening toe, why life?

This will provide a guide for policymakers.

I think we're just the beginning of being able to understand how we can use this very powerful tool, the ability to have our finger on the pulse of these wild places and then being able to translate that very quickly and to advances in conservation for a more sustainable future.

If we build while event eyes and becomes a huge collection of camera data that never gets used for anything, we had utterly failed.