Research
Building programming languages, tools, and software engineering techniques that make software more reliable, secure, and productive.
With the shift from boxed products to services, rich data is available from all stages of the Software Development Life Cycle. By leveraging this data, AI can assist software engineers, break down organizational boundaries and…
Management of large application state is one of the hardest problems for cloud and edge apps today. We demonstrate FASTER, a new open-source concurrent key-value store from Microsoft Research, that supports larger-than-memory data while providing…
The Multi-Device Experiences (MDX) toolkit is an extensible cloud AI service hosted in Azure that enables research and development on task-focused scenarios spanning multiple devices. The toolkit enables developers to create intelligent, interactive experiences that…
Charticulator is an interactive authoring tool that enables the creation of bespoke and reusable chart layouts. Charticulator is our response to most existing chart construction interfaces that require authors to choose from predefined chart layouts,…
Without good models and the right tools to interpret them, data scientists risk making decisions based on hidden biases, spurious correlations, and false generalizations. This has led to a rallying cry for model interpretability. Yet…
FSBOL is an F# implementation of the Synthetic Biology Open Language (SBOL) Data Model.
This implements F# for Jupyter notebooks. View the Feature Notebook for some of the features that are included.
LSM-based KV stores are designed to offer good write performance by capturing client writes in memory and only later flushing them to storage. Writes are later compacted into a tree-like data structure on disk to…
