Ecology and environment

Publication

Fields of The World: A Machine Learning Benchmark Dataset For Global Agricultural Field Boundary Segmentation

Hannah Kerner, Snehal Chaudhari, Aninda Ghosh, Caleb Robinson, Adeel Ahmad, Eddie Choi, Nathan Jacobs, Chris Holmes, Matthias Mohr, Rahul Dodhia, Juan M. Lavista Ferres, Jennifer Marcus

Proceedings of the AAAI Conference on Artificial Intelligence | April 2025

Project Project

Microsoft Research Blog

Research Focus: Week of April 7, 2025

April 9, 2025

In this issue: We introduce a new dataset designed to assist renewable energy infrastructure planners, a new method for denoising MRI imagery, and an AI tool for analyzing distant galaxies. Check out our latest research…

Career Opportunity

Research Sciences Resident (AI for Good) Intern

Posted: March 5, 2025

Location: Nairobi, Kenya

Research Area(s): Artificial intelligence, Computer vision, Ecology and environment, Social sciences

The AI for Good Research Lab uses AI and data to address some of the greatest challenges facing humanity. We are headquartered in Redmond, WA, and have an office in Nairobi, Kenya. We work on…

Publication

Global Renewables Watch: A Temporal Dataset of Solar and Wind Energy Derived from Satellite Imagery

Caleb Robinson, Anthony Ortiz, Allen Kim, Rahul Dodhia, Andrew Zolli, Shivaprakash K Nagaraju, James Oakleaf, Joe Kiesecker, Juan M. Lavista Ferres

March 2025

Publication

Multi-modal Language models in bioacoustics with zero-shot transfer: a case study

Zhongqi Miao, Benjamin Elizalde, Soham Deshmukh, Justin Kitzes, Huaming Wang, Rahul Dodhia, Juan M. Lavista Ferres

Scientific Reports | February 2025

Project

Publication

SatCLIP: Global, General-Purpose Location Embeddings with Satellite Imagery

Konstantin Klemmer, Esther Rolf, Caleb Robinson, Lester Mackey, M. Russwurm

AAAI Conference on Artificial Intelligence | February 2025

Project

National AI Research Resource (NAIRR) Pilot

Microsoft is delighted to contribute as a lead supporter of the National AI Research Resource (NAIRR) pilot. (opens in new tab) The mission of the NAIRR pilot aligns with our commitment to broaden AI research…

Publication

Distribution Shifts at Scale: Out-of-distribution Detection in Earth Observation

Burak Ekim, Girmaw Abebe Tadesse, Caleb Robinson, Gilles Quentin Hacheme, Michael Schmitt, Rahul Dodhia, Juan M. Lavista Ferres

December 2024

Project Project Project

Publication

Sims: An Interactive Tool for Geospatial Matching and Clustering

Akram Zaytar, Girmaw Abebe Tadesse, Caleb Robinson, Eduardo G Bendito, Medha Devare, Meklit Chernet, Gilles Quentin Hacheme, Rahul Dodhia, Juan M. Lavista Ferres

December 2024

Project Project Project

Publication

Local vs. Global: Local Land-Use and Land-Cover Models Deliver Higher Quality Maps

Girmaw Abebe Tadesse, Caleb Robinson, Charles Mwangi, Esther Maina, Joshua Nyakundi, Luana Marotti, Gilles Quentin Hacheme, Hamed Alemohammad, Rahul Dodhia, Juan M. Lavista Ferres

December 2024

Project Project Project

Project FarmVibes | Research for Industry

Bioacoustics: Leveraging AI to process audio recordings of diverse species

Geospatial Machine Learning

Advance sustainability initiative | AI For Good Lab

Fields of The World: A Machine Learning Benchmark Dataset For Global Agricultural Field Boundary Segmentation

Research Focus: Week of April 7, 2025

Research Sciences Resident (AI for Good) Intern

Global Renewables Watch: A Temporal Dataset of Solar and Wind Energy Derived from Satellite Imagery

Multi-modal Language models in bioacoustics with zero-shot transfer: a case study

SatCLIP: Global, General-Purpose Location Embeddings with Satellite Imagery

National AI Research Resource (NAIRR) Pilot

Distribution Shifts at Scale: Out-of-distribution Detection in Earth Observation

Sims: An Interactive Tool for Geospatial Matching and Clustering

Local vs. Global: Local Land-Use and Land-Cover Models Deliver Higher Quality Maps

Ecology and environment

Highlights