AI energy simulation
Accompanying code for Joule publication,” Energy Use of AI Inference: Efficiency Pathways and Test-Time Compute”, Oviedo et al., 2025
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.
Accompanying code for Joule publication,” Energy Use of AI Inference: Efficiency Pathways and Test-Time Compute”, Oviedo et al., 2025
This repository contains the source code, plotting notebooks, and training data for the paper “Mapping the combinatorial coding between olfactory receptors and perception with deep learning”. This repository is actively in development, and we will…
A unified framework for building and evaluating safe multi-agent systems SafeAgents provides a simple, framework-agnostic API for creating multi-agent systems with built-in safety evaluation, attack detection, and support for multiple agentic frameworks (Autogen, LangGraph, OpenAI…
BusyBox is a physical 3D-printable device for benchmarking affordance generalization in robot foundation models. It features Please check out our website (opens in new tab) for more details. For fully building a instrumented BusyBox capable…
Declarative, interactive data documents Chartifact is a low-code document format for creating interactive, data-driven pages such as reports, dashboards, and presentations. It travels like a document and works like a mini app. Designed for use…
This repository is the official implementation of the paper “TestExplora: Benchmarking LLMs for Proactive Bug Discovery via Repository-Level Test Generation” It can be used for baseline evaluation using the prompts mentioned in the paper. TestExplora…