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.
Computational photography research explores the power of AI and computer vision, pushing the limits of what is possible by helping people fully and easily utilize technology with innovative photography apps and services.
This dataset provides an unprecedented number of sensor recordings (405 in total), including multiple IMUs and infrared (IR) sensors deployed on 24 individual body segments. Together there are over 3 hours of data (sampled at…
Language modelling is a key component of many NLP systems, but comparing language models (LMs) in a fair way can be difficult. LM Challenge is a small, cross platform Python library for evaluating and investigating…
The Microsoft Speech Language Translation Corpus release contains conversational, bilingual speech test and tuning data for English, Chinese, and Japanese collected by Microsoft Research. The package includes audio data, transcripts, and translations and allows end-to-end…
This library implements Frodo, a lattice-based key exchange based on the Learning with Errors (LWE) problem. The library uses Frodo’s “recommended parameters”.
The SIDH v2.0 library is a supersingular isogeny-based cryptography library that implements a new suite of algorithms for a post-quantum, ephemeral Diffie-Hellman key exchange scheme.
The Picnic and Fish signature schemes are digital signature schemes secure against attacks by quantum computers. This is a reference implementation of these schemes, associated with the paper Post-Quantum Zero-Knowledge and Signatures from Symmetric-Key Primitives.
These visuals operate on any kind of tagged document content being visualized in Power BI. This can include key phrases, real-world entities such as people, places, and organizations, or abstract concepts that have been tagged…
DL workspace allows you to setup a cluster that you can run deep learning training job, interactive exploration job, and evaluation service. Please refer to docs/WhitePaper/ for more information.
This file contains datasets accompanying the paper: Krupka and Karmon et al. (2017). Toward Realistic Hands Gesture Interface: Keeping it Simple for Developers and Machines. There are two datasets within: FingersData – This dataset contains…