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.
Recent work in semantic parsing for question answering has focused on long and complicated questions, many of which would seem unnatural if asked in a normal conversation between two humans. In an effort to explore…
We introduce this dataset in order to support the novel task of Visual Question Generation (VQG), where, given an image, the system should ‘ask a natural and engaging question’. This dataset can be used to…
CP drops only the packet payload instead of the entire packet during buffer overload and uses a SACK-like precise ACK (PACK) technique to accurately inform senders of lost packets. The paper appears on NSDI 2014.
This dataset includes a database of regulation relationships among genes and corresponding textual mentions of pairs of genes in PubMed article abstracts. It was derived from the NCI PID Pathway Interaction Database, and the textual…
This is a public release of the dataset corresponding the paper “Learning from Explicit and Implicit Supervision Jointly For Algebra Word Problems” that appeared in EMNLP 2016. This set only contains the implicit supervised examples.…
Static Module Verifier technology enables full module analysis using Microsoft Azure.
Project Malmo is a platform for Artificial Intelligence experimentation and research built on top of Minecraft. We aim to inspire a new generation of research into challenging new problems presented by this unique environment.
A collection of libraries to assist in the creation of PowerBI custom visuals. Projects Visual Utils (visual-utils) (opens in new tab) – A collection of utilities the development of powerbi custom visuals. Visual Settings (visual-settings)…
LatticeCrypto is a high-performance and portable software library that implements lattice-based cryptographic algorithms. The first release of the library provides an implementation of lattice-based key exchange with security based on the Ring Learning With Errors…
