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In this episode of Geographical Thinking, host Michelle Brake is joined by Dr. Mohamed Ahmed, Lead Data Scientist at Esri Canada, to explore how AI is transforming marine conservation. Fisheries and Oceans Canada collaborated with Esri Canada to train deep learning models to detect beluga whales in Arctic waters using aerial, drone, and satellite imagery. With accuracy rates of 85-88%, these models can analyze thousands of images in hours, a task that previously took months. Mohamed shares insights into the challenges of distinguishing whales from ice, the evolution of the AI models, and what this breakthrough means for the future of marine research. Tune in to discover how technology is helping us better understand Arctic ecosystems and the impact of climate change.
In this episode of Geographical Thinking, host Michelle Brake is joined by Dr. Mohamed Ahmed, Lead Data Scientist at Esri Canada, to explore how AI is transforming marine conservation. Fisheries and Oceans Canada collaborated with Esri Canada to train deep learning models to detect beluga whales in Arctic waters using aerial, drone, and satellite imagery. With accuracy rates of 85-88%, these models can analyze thousands of images in hours, a task that previously took months. Mohamed shares insights into the challenges of distinguishing whales from ice, the evolution of the AI models, and what this breakthrough means for the future of marine research. Tune in to discover how technology is helping us better understand Arctic ecosystems and the impact of climate change.
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