Harnessing AI to help solve some of the world’s greatest challenges
AI for Earth project, in collaboration with the Wildlife Conservation Society Colombia (WCS Colombia (opens in new tab)) to create up-to-date land cover maps of the Orinoquía (opens in new tab) region in Colombia. We used a land use and land…
Pilot Microsoft Cognitive Services to unlock the strategic value of UN unstructured content by building on AI and semantic technologies.
This project aims to predict the probability of leprosy using skin lesion images and clinical data (as compared to the diagnosis of dermatologists). This model is provided for research and development use only. The model is not intended for use…
A Microsoft AI for Humanitarian Action study in collaboration with the NLRC 510 global initiative. In this study, we leverage high-resolution satellite imagery to conduct building footprint segmentation and train a classifier to assign each building’s damage severity level via…
A deep learning approach towards the large-scale prediction and analysis of bird acoustics from 100 different bird species
An implementation of feature disentanglement/domain adaptation methods for training deep learning models from x-ray imagery.
An implementation of the temporal cluster matching method (opens in new tab) for detecting change in structure footprints from time series of remotely sensed imagery.
The Advocacy Platform is a cloud solution to automate the acquisition of case decisions, court hearings and location information from the EOIR hotline. Additionally, this solution helps NGOs working with Asylum seeker families at risk of deportation to allocate legal…
