Research
Discover an index of datasets, SDKs, APIs and open-source tools developed by Microsoft researchers and shared with the global academic community below. These experimental technologies—available through Azure AI Foundry Labs (opens in new tab)—offer a glimpse into the future of AI innovation.
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…
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…
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.
SuperSolver is an algorithm written in Sage/Python that solves the general supersingular isogeny problem using the Delfs-Galbraith algorithm. It accompanies the paper “SuperSolver: accelerating the Delfs-Galbraith algorithm with fast subfield root detection”, by Maria Corte-Real…
A Python package for generating concise, high-quality summaries of a probability distribution. GoodPoints is a collection of tools for compressing a distribution more effectively than independent sampling.
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…