Detangling NODEs

I’m Willem Bonnaffé,  a postdoctoral researcher at the University of Oxford. In my research, I integrate biological data, mathematical modelling, and machine learning. I spend most of my time modelling natural systems with neural ordinary differential equations – NODEs or Neural ODEs for short. In this blog post, I am hoping to shed light on what these models are and how I came to use … Continue reading Detangling NODEs

Assessing Sea Turtle Populations: Can We Get a Hand From Drones and Deep Learning?

Post provided by PATRICK GRAY

An olive ridley sea turtle in Ostional, Costa Rica. ©Vanessa Bézy.

Understanding animal movement and population size is a challenge for researchers studying any megafauna species. Sea turtles though, add a whole additional level of complexity. These wide-ranging, swift, charismatic animals spend much of their time underwater and in remote places. When trying to track down and count turtles, this obstacle to understanding population size becomes a full-on barricade.

Censusing these animals doesn’t just satisfy our scientific curiosity. It’s critical for understanding the consequences of unsound fishing practices, the benefits of conservation policy, and overall trends in population health for sea turtles, of which, six out of seven species range from vulnerable to critically endangered. Continue reading “Assessing Sea Turtle Populations: Can We Get a Hand From Drones and Deep Learning?”