Wildfire detection
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Field Testing Early Wildfire Detection in Interior British Columbia
Continuing our engagement with communities across Interior British Columbia, the Bayes team recently had the privilege to visit the region to listen, learn, and…
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Environmental Monitoring and Wildfire Intelligence at AME Roundup
Last week we attended AME Roundup, one of Canada’s leading mining and mineral exploration conferences. We had great conversations and met fantastic people across…
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Applied Research Collaboration: Partnering with Arizona State University on Edge-AI Wildfire Solutions
Thrilled to announce a collaboration with Douglas Sandy and a brilliant team of software engineering grad students from Arizona State University! This team, personally…
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AI Wildfire Detection Showcase at Innovation UBC Immersion Week
We’re excited to be part of Innovation UBC Immersion Week! 🎉 Stop by our booth to see how Bayes Studio is using AI and…
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2023 Wildfire Season Data & Early Detection Technology
This study highlights the growing challenges wildfires pose to our ecosystems and communities in a warming climate. Key takeaways include 15 million hectares burned,…
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Addressing Global Wildfire Risks in the Wildland-Urban Interface: The Imperative for AI Early Detection
Wildfires are no longer just remote threats; they’re knocking on our doors. From Japan’s worst forest blaze in decades forcing the evacuation of 1,800…





