Our work to decode communication of other species builds on the extraordinary advances we are seeing in AI being applied to human language, which we are extending to the non-human world. It also builds off many decades of bioacoustics and behavioral ecology research which has already uncovered complex communication systems in other species.
The machine learning models we are building are also supporting and deepening ongoing research into the behavior of other species and advancing conservation efforts on the ground today.
All our work is inspired by current challenges being faced in conservation biology. It is also all publicly accessible, helping to ensure researchers no longer need to reinvent the wheel for each project, and can focus precious resources on ensuring we have forward momentum as we seek to listen, to understand and, ultimately, to protect.