Gaining a Deeper Understanding of the 21st Century's Biodiversity Loss with Machine Learning
In a new study, researchers have created a machine learning algorithm that can provide unique insights into the magnitude of biodiversity loss over the past century. The algorithm, developed by a team of scientists from the University of California, Berkeley, can analyze vast amounts of data to accurately predict changes in biodiversity over time. The team’s findings, recently published in the journal Nature, suggest that global biodiversity has declined by an average of 3.2 percent over the past century, with some regions experiencing losses of up to 8.1 percent. The researchers believe that this new method of analysis could be used to inform conservation efforts in the future.
source: Phys.org