Jonathan Mace at Microsoft Research
I am a Senior Researcher in the Cloud Systems Reliability Group at Microsoft Research, Redmond. I joined MSR in 2023; before that I was facul…| Microsoft Research
I am a Senior Researcher in the Cloud Systems Reliability Group at Microsoft Research, Redmond. I joined MSR in 2023; before that I was facul…| Microsoft Research
Azure Research – Systems is a research group in Azure Core that brings forward-looking, world-class systems research directly into Azure, to improve the efficiency of the infrastructure.| Microsoft Research
Generative AI tools hold promise to increase human productivity. This paper presents results from a controlled experiment with GitHub Copilot, an AI pair programmer. Recruited software developers were asked to implement an HTTP server in JavaScript as quickly as possible. The treatment group, with access to the AI pair programmer, completed the task 55.8% faster […]| Microsoft Research
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Content Hypergiants deliver the vast majority of Internet traffic to end users. In recent years, some have invested heavily in deploying services and servers inside end-user networks. With several dozen Hypergiants and thousands of servers deployed inside networks, these off-net (meaning outside the Hypergiant networks) deployments change the structure of the Internet. Previous efforts to […]| Microsoft Research
At RSA Conference 2018, Microsoft announced Azure Sphere, previewing a unique new solution to help connect and secure the most populous category of computing today: the tens of billions of devices powered by microcontrollers (MCUs). Azure Sphere represents an opportunity for Microsoft and our partners to serve a new era of computing with securely connected […]| Microsoft Research
Emerging applications increasingly use estimates such as sensor data (GPS), probabilistic models, machine learning, big data, and human data. Unfortunately, representing this uncertain data with discrete types (floats, integers, and booleans) encourages developers to pretend it is not probabilistic, which causes three types of uncertainty bugs. (1) Using estimates as facts ignores random error in […]| Microsoft Research
The AI Controller Interface helps researchers and developers to efficiently implement existing strategies for controlling LLMs and invent new ones, enhancing LLM generation through improved accuracy, privacy, and compliance with formatting standards.| Microsoft Research
Medfuzz tests LLMs by breaking benchmark assumptions, exposing vulnerabilities to bolster real-world accuracy.| Microsoft Research
By Doug Burger, Distinguished Engineer, Microsoft Today at Hot Chips 2017, our cross-Microsoft team unveiled a new deep learning acceleration platform, codenamed Project Brainwave. I’m delighted to share more details in this post, since Project Brainwave achieves a major leap forward in both performance and flexibility for cloud-based serving of deep learning models. We designed […]| Microsoft Research
Generalist foundation models such as GPT-4 have displayed surprising capabilities in a wide variety of domains and tasks. Yet, there is a prevalent assumption that they cannot match specialist capabilities without intensive training of models with specialty knowledge. For example, most explorations to date on medical competency benchmarks have leveraged domain specific training, as exemplified […]| Microsoft Research
This figure was adapted from a similar image published in DistilBERT. Turing Natural Language Generation (T-NLG) is a 17 billion parameter language model by Microsoft that outperforms the state of the art on many downstream NLP tasks. We present a demo of the model, including its freeform generation, question answering, and summarization capabilities, to academics […]| Microsoft Research
Microsoft is transforming retrieval-augmented generation with GraphRAG, using LLM-generated knowledge graphs to significantly improve Q&A when analyzing complex information and consistently outperforming baseline RAG. Get the details.| Microsoft Research
Microsoft Research and Cyted have collaborated to build novel AI models (opens in new tab) to scale the early detection of esophageal cancer. The AI-supported methods demonstrated the same diagnostic performance as the existing manual workflow, potentially reducing the pathologist’s workload by up to 63%. Esophageal cancer is the sixth most common cause of cancer […]| Microsoft Research
Microsoft Chief Scientific Officer Eric Horvitz explains how new prompting strategies can enable generalist large language models like GPT-4 to achieve exceptional expertise in specific domains, such as medicine, and outperform fine-tuned specialist models.| Microsoft Research
Christopher Bishop is a Microsoft Technical Fellow and the Director of Microsoft Research AI for Science. He is also Honorary Professor of Com…| Microsoft Research
Project Silica is developing the first-ever storage technology designed and built from the ground up for the cloud, using femtosecond lasers to store data.| Microsoft Research
