Principal Research Scientist at Microsoft - AI for Good Research Lab.
Caleb is a Principal Research Science in the Microsoft AI for Good Research Lab. He graduated from the Georgia Institute of Technology with a PhD in 2020 and his work focuses on tackling large scale problems at the intersection of remote sensing and machine learning/computer vision. At the AI for Good Lab he co-leads the Geospatial ML research group and is the lead researcher on the Global Renewables Watch, rapid damage assessment, and global building density estimation teams.
Deriving insights from satellite imagery using AI/ML relies heavily on ground reference data (or labels). These data are scarce outside the world's developed regions primarily due to a lack of investment and infrastructure to collect them. Foundation Models, however, promise to change this paradigm and break the barrier for everyone to benefit from AI/ML advancements, even with limited label data. We will discuss how end users can apply new Large Earth Foundation Models to solve the data scarcity problem.
