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 computer engineering, is working to develop machine learning algorithms to increase the identification of the leopards. Her work focuses on analyzing image databases created from strategically placed camera traps deployed by field researchers in Africa. A task still done by hand, placing the tracking cameras is a labor intensive activity for conservationists. Read the full article on the Collegian website, linked in our bio. Written by katfish_._ Photo by Sofia Raikow #collegianscience #csucollegian #csuengineering #csuscience #rmsmc #rocky...