• Home
  • Blog
  • Android
  • Cars
  • Gadgets
  • Gaming
  • Internet
  • Mobile
  • Sci-Fi
Tech News, Magazine & Review WordPress Theme 2017
  • Home
  • Blog
  • Android
  • Cars
  • Gadgets
  • Gaming
  • Internet
  • Mobile
  • Sci-Fi
No Result
View All Result
  • Home
  • Blog
  • Android
  • Cars
  • Gadgets
  • Gaming
  • Internet
  • Mobile
  • Sci-Fi
No Result
View All Result
Blog - Creative Collaboration
No Result
View All Result
Home Sci-Fi

This AI system thinks we’re getting better at wildlife conservation

March 20, 2020
Share on FacebookShare on Twitter

A new AI system has revealed that we’re finally getting better at wildlife conservation.

Researchers came to this conclusion after using machine learning to analyze more than 4,000 studies on species reintroduction across four decades.

The system evaluated the outcomes of conservation programs by assessing the study abstracts with sentiment analysis, a form of AI that identifies positive and negative emotions expressed in text. The results suggested that a growing number of initiatives were working.

“Over time, there’s a lot less uncertainty in the assessment of sentiment in the studies, and we see reintroduction projects become more successful — and that’s a big takeaway,” said study author Kyle Van Houtan, the chief scientist at Monterey Bay Aquarium.

[Read: AI studies our photos to prove that nature makes us happy]

The idea for the study emerged when researchers studying conservation literature to learn how to reintroduce animals to the wild were overwhelmed by the enormous quantity of information.

They decided to see if AI could do a better job.

Building the system

The team first searched through the Web of Science database to identify 4,313 species reintroduction studies that had been published between 1987 and 2016.

They then built a model that gave each study a store with existing sentiment analysis lexicons, which had previously been used to rate things such as movie and restaurant reviews.

To ensure that the ratings were accurate, the researchers searched the results for positive words such as “success,” “protect,” and “growth,” as well as negative ones like “threaten,” “loss,” and “kill.”

They found that the repurposed tools had worked surprisingly. This is likely because many words used in conservation biology are also common in everyday language.

They now want the technique to be used applied more broadly in both conservation biology and other fields, where much of the local efforts to reintroduce wildlife go unnoticed.

Their works shows that while humanity‘s future looks bleaker by the day, at least the survival chances of other animals could be improving.

Published March 20, 2020 — 18:26 UTC

Next Post

Top Instagram marketing tips to boost your brand

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

No Result
View All Result

Recent Posts

  • I don’t recognize the Android I fell in love with anymore
  • I reviewed the Oppo Find N6 and it’s so good, I don’t want to stop using it
  • 4 Android phones you should buy instead of the iPhone 17e
  • The Pixel’s best feature ever is going away in less than two months
  • These OnePlus wireless earbuds were easy to recommend at full price, but at $40, they become a no-brainer

Recent Comments

    No Result
    View All Result

    Categories

    • Android
    • Cars
    • Gadgets
    • Gaming
    • Internet
    • Mobile
    • Sci-Fi
    • Home
    • Shop
    • Privacy Policy
    • Terms and Conditions

    © CC Startup, Powered by Creative Collaboration. © 2020 Creative Collaboration, LLC. All Rights Reserved.

    No Result
    View All Result
    • Home
    • Blog
    • Android
    • Cars
    • Gadgets
    • Gaming
    • Internet
    • Mobile
    • Sci-Fi

    © CC Startup, Powered by Creative Collaboration. © 2020 Creative Collaboration, LLC. All Rights Reserved.

    Get more stuff like this
    in your inbox

    Subscribe to our mailing list and get interesting stuff and updates to your email inbox.

    Thank you for subscribing.

    Something went wrong.

    We respect your privacy and take protecting it seriously