Improving wildlife conservation with artificial intelligence (sponsored by SAS)

Description

Indigenous trackers all over the world can look at a single footprint in the dirt and intuitively know what animal species that print belongs to. Scientists have worked alongside indigenous trackers to create a method of applying morphometrics to animal footprints in an effort to expand this unique skillset to scale conservation efforts around the world. Mary Beth Ainsworth explains how biologists, zoologists, and machine learning and computer vision experts have built on the work in morphometrics to develop, automate, and scale a noninvasive approach to monitoring endangered wildlife using the SAS Platform by analyzing where animals have walked.

This session is sponsored by SAS.