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.
Temporal Vision-Language Processing (BioViL-T)
BioViL-T is a Vision-Language model trained on sequences of biomedical image and text data at a scale. It does not require manual annotations and can leverage historical raw clinical image acquisitions and clinical notes. The…
SimpleRacerResearchPlatform
A simple racer research platform that showcases various imitation learning models with a web racing game.
Revizor: a fuzzer to search for microarchitectural leaks in CPUs
This is Revizor, a microarchitectural fuzzer. Instead of finding bugs in programs, Revizor searches for microarchitectural vulnerabilities in CPUs. What is a microarchitectural vulnerability? In the context of Revizor, it is a violation of out expectations…
Semantic Kernel
Semantic Kernel (SK) is a lightweight SDK enabling integration of AI Large Language Models (LLMs) with conventional programming languages. The SK extensible programming model combines natural language semantic functions, traditional code native functions, and embeddings-based…
Biomedical Visual-Language Processing (BioViL)
BioViL is a machine learning model trained on biomedical vision and language datasets at scale. It does not require manual annotations and can leverage historical raw clinical image acquisitions and clinical notes.
Responsible AI Mitigations
This Responsible-AI-Toolbox-Mitigations repo consists of a python library that aims to empower data scientists and ML developers to measure their dataset balance and representation of different dataset cohorts, while having access to mitigation techniques they…
Responsible AI Toolbox
Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders…
Responsible AI Tracker
Responsible AI Tracker is a JupyterLab Extension for managing, tracking, and comparing results of machine learning experiments for model improvement. Using this extension, users can view models, code, and visualization artifacts within the same framework…
CodaMosa
This repository contains the code for CodaMOSA. CodaMOSA integrates queries to a Large Language Model (currently supports the OpenAI API) into search-based algorithms for unit test generation.