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From facial recognition technology that monitors brown bear populations, to intelligent robots sorting recycling, these initiatives are having a positive impact on the environment

The vulnerable California red-legged frog faces pressure from farmers who need their breeding grounds to irrigate crops. Conservation Metrics, is using machine learning technology to better identify the frogs’ habitats and flag them for protection.

This tutorial demonstrates how to quickly develop an automated system to detect the sounds of a species of interest using only a handful of short clips exemplifying the species.

Counting elephants helps scientists know where and when they’re being killed. Despite elephants’ massive size, they are hard to spot in the rainforest.

On the mountainous island of Kauai, elusive shearwaters and petrels burrow deep in the forested terrain. Saving them requires a radical effort, led by a man who is no less extreme.

Faced with mountains of image and audio data, researchers are turning to artificial intelligence to answer pressing ecological questions.

Algorithms are bringing new kinds of evidence and predictive powers to the shaping of landscapes.

Thought to be extinct on the Hawaiian Island for centuries, Newell’s Shearwaters and Hawaiian Petrels were found using acoustic monitoring.

Conserving endangered wildlife is an expensive, time consuming job, but new technology may make protecting animals, and catching the poachers who threaten them, easier.

Acoustic monitoring combined with powerful machine learning is giving researchers new insights into the elusive Ashy Storm-Petrel. It’s just one way that artificial intelligence can tackle pressing conservation challenges.

Carle, R. D., Fleishman, A. B., Valela, T., Angulo, P. M., Rodt, G. De, Hodum, P., Colodro, V., López, V., Gutiérrez-Guzmán, H. (2021). PLOS One, 16(7), 1–24

Drummond, B. A., Orben, R. A., Christ, A. M., Fleishman, A. B., Renner, H. M., Rojek, N. A., Romano, M. D. (2021). PLOS One, 16(7), 1–17.