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.
In this project we develop new deep learning models for bootstrapping language understanding models for languages with no labeled data using labeled data from other languages.
The new version of SEAL implements the CKKS encryption scheme. This is the main change; other changes are superficial API changes. The CKKS scheme was originally described by a Korean research group https://eprint.iacr.org/2016/421.pdf. We also…
This download contains Magma files that exhibit supersingular isogeny computations on Kummer surfaces. It is intended for research purposes only.
An open source AutoML toolkit for neural architecture search and hyper-parameter tuning.
Modify the OpenVPN client and server to support key exchange and signature algorithms that are “post-quantum”: not known to be susceptible to attack by a sufficiently large quantum computer. MSR Security and Cryptography currently has…
The Eye Control Toolkit is a collection of helper classes and sample apps that demonstrate the usage of the eye tracker APIs in Windows 10 RS4.
Source code for our CRISPR off-target prediction model, Elevation
Visual Studio Tools for AI is a free Visual Studio extension to build, test, and deploy deep learning / AI solutions. It seamlessly integrates with Azure Machine Learning for robust experimentation capabilities, including but not…
