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Home to more than 2,000 animal and plant species, the Amazon rainforest is at risk. Seeing means saving when you participate in our crowdsource app and identify images that will help us train AI models to detect deforestation.
Using video footage inside hives and training machine learning algorithms to decode the dance helps Beefutures understand where bees are finding food. This real-time monitoring of waggle dances allows bees to act as sensors for their ecosystems. Beekeepers can track the hives and bees throughout the day, identify where the optimal food sources are, and assess where to plant new food sources.
In Canada, one in five people experience a mental illness or addiction problem – well above the global average. But mental afflictions go untreated as too many people choose to suffer in silence. As Canada's largest mental health teaching hospital, CAMH is using analytics to remove that stigma. The Toronto-based institution over 34,000 patients each year.
SAS joined forces with NatureServe, an organization focused on protecting biodiversity, to use analytics and AI to measure the degree of imperilment for plants and animals on a global scale. Before, this process was costly and highly manual. With SAS, NatureServe can automate the complex task of analyzing over seven million species of plants and animals on the Earth, with greater reliability, cost savings and efficiencies.
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