Doctoral candidate’s machine learning assists in African leopard tracking

Doctoral candidate’s machine learning assists in African leopard tracking

While African leopards span the continent, inhabiting a variety of environments like grasslands, rainforests, deserts and savannas, their migration population changes can often be difficult to track — a difficulty that one Colorado State University international student is working to change with the assistance of machine learning technology. Cheng Guo, an international student from China and a Ph.D. candidate in the department of electrical and …