This episode explores the innovative use of Tiny Machine Learning (TinyML) acoustic classifiers in wildlife conservation. These cutting-edge technologies provide real-time, on-device analysis of animal sounds, enabling efficient monitoring of species, detection of poaching activities, and the assessment of habitat health. The discussion will cover the technical aspects of TinyML, its deployment in remote areas, and the potential for significant advancements in protecting endangered species and preserving biodiversity.