Geospatial Machine Learning
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
Glacier mapping and glacial lakes monitoring uses a machine learning-based approach to support ecological monitoring.
Renewable Energy Mapping
The Renewable Energy Mapping project uses geospatial machine learning to map and monitor renewable energy development at scale.
Solar Farms Mapping
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.
Story Labs 360: A datacenter in the deep
In 2018, Microsoft lowered a datacenter 117 feet into the Atlantic Ocean near Scotland. Project Natick experiments with the boundaries of what’s possible for datacenter reliability and energy efficiency. Learn more: https://news.microsoft.com/stories/microsoft-datacenter-tour Subscribe to Microsoft…
Bioacoustics
Bioacoustics is a cross-disciplinary science that combines biology and acoustics. Usually, it refers to the investigation of sound production, dispersion and reception in animals (including humans). In our research lab, we collaborate with conservation organizations…