A new study from McGill University researchers suggests the use of artificial intelligence (AI) to rapidly analyze vast amounts of biodiversity data could revolutionize conservation efforts by enabling scientists and policymakers to make better-informed decisions.
A new study from McGill University researchers suggests the use of artificial intelligence (AI) to rapidly analyze vast amounts of biodiversity data could revolutionize conservation efforts by enabling scientists and policymakers to make better-informed decisions.
A collaboration between a computer scientist, an ecologist and an international team of researchers, the review published in Nature Reviews Biodiversity examines the seven “global biodiversity knowledge shortfalls,” gaps in what we know about species, including their distributions and interactions.
“The problem is that we still don’t have basic information about nature, which prevents us from knowing how to protect it,” said Laura Pollock, lead author on the study and assistant professor in McGill’s Department of Biology.
Read More: McGill University
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