Blog

Sara Keen, Senior Researcher, Behavioral Ecology and AI reflects on how machine learning can help us find the signals in the noise and decipher meaning from the world of invisible information that surrounds us.

We provide an overview of ESP’s technical roadmap – offering a path forward for our proposed and ongoing scientific work, which is focused on using AI to decode non-human animal communication.

Jane Lawton, Director of Strategic Impact, reflects on the insights shared by Dr. Karen Bakker, Dr. Ari Friedlaender and Aza Raskin at ESP’s panel discussion on interspecies communication in San Francisco – from how sophisticated the communication systems of other species are, to the explosion of new bioacoustic technologies and AI that see us on…

Katie Zacarian, former CEO, Earth Species Project, reflects on the ESP journey to receiving a National Geographic Explorer grant. The project we have received funding for is focused on developing machine learning models to interpret animal motion data gathered on powerful animal-borne sensors, and it represents an important step on the journey toward decoding animal…

In December 2021, we published our first scientific paper in the peer-reviewed journal Scientific Reports. This publication focuses on automatic source separation so that researchers are more easily able to distinguish between animal vocalizations when more than one animal is “speaking” at the same time. The research was the outcome of a close collaboration with…

Senior AI research scientist Benjamin Hoffman is working on self-supervised methods for interpreting data collected from animal-borne tags, known as bio-loggers. Using bio-loggers, scientists are able to record an animal’s motions, as well as audio and video footage from the animal’s perspective. However, these data are often difficult to interpret, and there is often too…