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.
Filzbach is a flexible, fast, robust, parameter-estimation engine that enables you to parameterize arbitrary, non-linear, parameter-rich models—of the kind that are necessary in biological sciences, for example–against multiple, heterogeneous data sets. Filzbach supports Bayesian parameter…
Excel Cloud Data Analytics is a Microsoft Excel add-in that enables users to execute a variety of data-centric tasks on Windows Azure through a custom Ribbon in Excel. This add-in can be used to connect…
Microsoft has developed an iterative MapReduce runtime for Windows Azure, code-named Daytona. Project Daytona is designed to support a wide class of data analytics and machine-learning algorithms. It can scale to hundreds of server cores…
Counterdog is an automated theorem prover for counterfactual meta-logic on propositional Datalog. The prover is complete for the logic and can prove or disprove counterfactual statements such as “if ‘p’ is false in a Datalog…
Back-transliteration based Input Method Editors are very popular for Indian Lan-guages. In this paper we evaluate two such Indic language systems to help un-derstand the challenge of designing a back-transliteration based IME. Through a detailed…
