Quantum Development Kit, Q#, and Katas
Microsoft’s Quantum development kit (QDK) and its programing language, Q#, are poised to empower both research and education in quantum computing and quantum programming. We can show how the resources estimator provided with the QDK…
Spreadsheet Understanding Using Statistics and Deep Learning
Spreadsheets allow users to combine data, computation, and presentation in compelling ways that allow analysis, exploration, insight, and communication. By applying machine learning and AI based on deep neural networks to spreadsheets, and combining that…
AI Assisted Software Development and Diagnostics
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…
FASTER: An Embedded Key-Value Store for State Management
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…
Multi-Device Experiences (MDX) Toolkit
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: Interactive Construction of Bespoke Chart Layouts
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,…
Techniques for ML Model Transparency and Debugging
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…
F# implementation of Synthetic Biology Open Language (SBOL) Data Model
FSBOL is an F# implementation of the Synthetic Biology Open Language (SBOL) Data Model.
F# for Jupyter Notebooks
This implements F# for Jupyter notebooks. View the Feature Notebook for some of the features that are included.