News
Entering the Subak Australia acceleration program
We are thrilled to announce that Wildlife.ai is now a part of the accelerator program within Subak Australia! The term "Subak" roots in 9th century Indonesia, where it [...]
Nesher Bari Intro: Using Machine Learning for Vulture Conservation
Vultures are an important part of the ecosystem, as they help to clean up after dead animals. However, vulture populations have been declining due to a number of factors, including poisoning, electrocution, and collision. [...]
Pepeketua ID – An app to streamline the identification of Archey’s frogs
In this post, I describe how we have developed the Pepeketua ID app, an open-source software to help identify individuals of Archey’s frogs, a critically endangered species. The app combines three different machine learning [...]
Using AI to Identify New Zealand Fish – Project Completion Update
In this post, we explain the different machine learning experiments we performed to create models to automatically identify fish in underwater videos. An underwater image, from Kapiti Marine Reserve, labelled by the citizen [...]
Spyfish Aotearoa: using AI to identify New Zealand fish
In this post, we will share an update on how we are using machine learning to identify fish in underwater videos using data labelled by citizen scientists. Adi Gabay and Ohad Tayler. [...]
AI for the Environment in Aotearoa New Zealand
We are excited to announce the publication of the AI for the Environment in Aotearoa New Zealand report. In partnership with the AI Forum of NZ, Antistatic and Lynker Analytics we have researched the [...]