Research
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.
The XR Remote study toolkit is a toolkit for Unity that allows users to record and replay gameplay from the Unity editor window. The toolkit currently allows users to track the changes in Transform for…
This respository contains the code accompanying the paper “Incorporating knowledge of plates in batch normalization improves generalization of deep learning for microscopy images” by Alex Lin and Alex Lu.
Pre-trained Generative Language models (e.g. PLBART, CodeT5, SPT-Code) for source code yielded strong results on several tasks in the past few years, including code generation and translation. These models have adopted varying pre-training objectives to…
AI for Industry Simulations is a project for training large-scale surrogate models for solving partial differential equations (PDEs) with deep learning. We target large-scale three-dimensional applications as common in industrial applications such as reservoir simulation.…
This repository contains the code referred in the paper “Craft an Iron Sword: Dynamically Generating Interactive Game Characters by Prompting Large Language Models Tuned on Code”
With FarmVibes.AI, you can develop rich geospatial insights for agriculture and sustainability. Build models that fuse multiple geospatial and spatiotemporal datasets to obtain insights (e.g. estimate carbon footprint, understand growth rate, detect practices followed) that would…
This repository houses the supporting code for the paper Learning Accurate Decision Trees with Bandit Feedback via Quantized Gradient Descent. The Dense Gradient Tree (DGT) technique supports learning decision trees of a given height for…
This project contains example notebooks exhibiting confidence sequences that are robust, i.e., converge for observations with infinite variance. Robust Mean Demo: The basic technique for covering the running conditional mean in a nonstationary environment. Includes…
Large-scale pretrained models for goal-directed dialog. This repository showcases building goal-directed dialog using GODEL, and contains the dataset, source code and pre-trained model for the following paper: GODEL: Large-Scale Pre-Training for Goal-Directed Dialog