微软研究院
Applying computing to better understand ecosystems, address environmental challenges, and support a more sustainable future.
Empower people and enable the planet to thrive We work with researchers, businesses, governments, and non-profit organizations around the world to empower people and enable the planet to thrive —through technology and innovation for energy, connectivity, and sustainability…
The goal of this project is to use audio recordings and corresponding annotations to build an automatic classifier for calls from four different species of blue whales, and to estimate the total number of calls…
We combine geospatial data with machine learning in collaboration with partners at universities, conservation agencies, and NGOs in projects that support disaster response, humanitarian action and conservation efforts.
Glacier mapping and glacial lakes monitoring uses a machine learning-based approach to support ecological monitoring.
The Renewable Energy Mapping project uses geospatial machine learning to map and monitor renewable energy development at scale.
The Solar Farms Mapping release is an artificial intelligence dataset for solar energy locations in India – a spatially explicit machine learning model to map utility-scale solar projects across India using freely available satellite imagery.