Microsoft Research Blog
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Microsoft has demonstrated the underlying physics required to create a new kind of qubit
Quantum computing promises to help us solve some of humanity’s greatest challenges. Yet as an industry, we are still in the early days of discovering what’s possible. Today’s quantum computers are enabling researchers to do interesting work. However, these researchers often find themselves limited by… -
PeopleLens: Using AI to support social interaction between children who are blind and their peers
The PeopleLens is a new research technology designed to help people who are blind or have low vision better understand their immediate social environments by locating and identifying people in the space. Coupled with a scheme of work based on research and practices from psychology… -
µTransfer: A technique for hyperparameter tuning of enormous neural networks
Great scientific achievements cannot be made by trial and error alone. Every launch in the space program is underpinned by centuries of fundamental research in aerodynamics, propulsion, and celestial bodies. In the same way, when it comes to building large-scale AI systems, fundamental research forms…
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COMPASS: COntrastive Multimodal Pretraining for AutonomouS Systems
Figure 1: COMPASS is a general-purpose pretraining pipeline, which is trained on multimodal data, including RGB images, depth and optical flow. The pretrained COMPASS model can be deployed on various downstream autonomous systems tasks. In this work, we test COMPASS on simulated drone navigation, car… -
Using reinforcement learning to identify high-risk states and treatments in healthcare
As the pandemic overburdens medical facilities and clinicians become increasingly overworked, the ability to make quick decisions on providing the best possible treatment is even more critical. In urgent health situations, such decisions can mean life or death. However, certain treatment protocols can pose a… -
Advancing AI trustworthiness: Updates on responsible AI research
Inflated expectations around the capabilities of AI technologies may lead people to believe that computers can’t be wrong. The truth is AI failures are not a matter of if but when. AI is a human endeavor that combines information about people and the physical world… -
DeepSpeed: Advancing MoE inference and training to power next-generation AI scale
In the last three years, the largest trained dense models have increased in size by over 1,000 times, from a few hundred million parameters to over 500 billion parameters in Megatron-Turing NLG 530B (MT-NLG). Improvements in model quality with size suggest that this trend will… -
EzPC: Increased data security in the AI model validation process
From manufacturing and logistics to agriculture and transportation, the expansion of artificial intelligence (AI) in the last decade has revolutionized a multitude of industries—examples include enhancing predictive analytics on the manufacturing floor and making microclimate predictions so that farmers can respond and save their crops… -
Azure AI milestone: Microsoft KEAR surpasses human performance on CommonsenseQA benchmark
KEAR (Knowledgeable External Attention for commonsense Reasoning)—along with recent milestones in computer vision and neural text-to-speech—is part of a larger Azure AI mission to provide relevant, meaningful AI solutions and services that work better for people because they better capture how people learn and work—with improved vision, knowledge understanding,… -
Azure AI milestone: New Neural Text-to-Speech models more closely mirror natural speech
Neural Text-to-Speech—along with recent milestones in computer vision and question answering—is part of a larger Azure AI mission to provide relevant, meaningful AI solutions and services that work better for people because they better capture how people learn and work—with improved vision, knowledge understanding, and… -
Research at Microsoft 2021: Collaborating for real-world change
Over the past 30 years, Microsoft Research has undergone a shift in how it approaches innovation, broadening its mission to include not only advancing the state of computing but also using technology to tackle some of the world’s most pressing challenges. That evolution has never… -
Azure AI milestone: New foundation model Florence v1.0 advances state of the art, topping popular computer vision leaderboards
The Project Florence Team With the new computer vision foundation model Florence v1.0, the Project Florence team set the new state of the art on the popular leaderboards TextCaps Challenge 2021, nocaps, Kinetics-400/Kinetics-600 action classification, and OK-VQA Leaderboard. Florence v1.0—along with recent milestones in Neural…

Formed in 2009, the Archive Team (not to be confused with the archive.org Archive-It Team) is a rogue archivist collective dedicated to saving copies of rapidly dying or deleted websites for the sake of history and digital heritage. The group is 100% composed of volunteers and interested parties, and has expanded into a large amount of related projects for saving online and digital history.
