Understanding animal movement is essential to elucidate how animals interact, survive, and
thrive in a changing world. Recent technological advances in data collection and …

In recent years, Earth system sciences are urgently calling for innovation on improving
accuracy, enhancing model intelligence level, scaling up operation, and reducing costs in …

Inexpensive and accessible sensors are accelerating data acquisition in animal ecology.
These technologies hold great potential for large-scale ecological understanding, but are …

A lot of hype has recently been generated around deep learning, a novel group of artificial
intelligence approaches able to break accuracy records in pattern recognition. Over the …

Deep learning is driving recent advances behind many everyday technologies, including
speech and image recognition, natural language processing and autonomous driving. It is …

The paradigm‐changing opportunities of biologging sensors for ecological research,
especially movement ecology, are vast, but the crucial questions of how best to match the …

Animal behaviour is remarkably sensitive to disruption by chemical pollution, with
widespread implications for ecological and evolutionary processes in contaminated wildlife …

Measuring Behaviour is the established go-to text for anyone interested in scientific methods
for studying the behaviour of animals or humans. It is widely used by students, teachers and …

Abstract Machine learning has become popular in ecology but its use has remained
restricted to predicting, rather than understanding, the natural world. Many researchers …

The last decade has transformed the field of artificial intelligence, with deep learning at the
forefront of this development. With its ability to 'self-learn'discriminative patterns directly from …